Warning: Permanently added '54.234.124.1' (ED25519) to the list of known hosts. You can reproduce this build on your computer by running: sudo dnf install copr-rpmbuild /usr/bin/copr-rpmbuild --verbose --drop-resultdir --task-url https://copr.fedorainfracloud.org/backend/get-build-task/9561076-fedora-43-x86_64 --chroot fedora-43-x86_64 Version: 1.4 PID: 8713 Logging PID: 8715 Task: {'allow_user_ssh': False, 'appstream': False, 'background': False, 'build_id': 9561076, 'buildroot_pkgs': [], 'chroot': 'fedora-43-x86_64', 'enable_net': True, 'fedora_review': False, 'git_hash': '1c164aade0026e526c75f63acd73454a3f23e350', 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/ycollet/audinux/aida-x', 'isolation': 'default', 'memory_reqs': 2048, 'package_name': 'aida-x', 'package_version': '1.1.0-1', 'project_dirname': 'audinux', 'project_name': 'audinux', 'project_owner': 'ycollet', 'repo_priority': None, 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/ycollet/audinux/fedora-43-x86_64/', 'id': 'copr_base', 'name': 'Copr repository', 'priority': None}, {'baseurl': 'https://download1.rpmfusion.org/free/fedora/development/rawhide/Everything/$basearch/os/', 'id': 'https_download1_rpmfusion_org_free_fedora_development_rawhide_Everything_basearch_os', 'name': 'Additional repo ' 'https_download1_rpmfusion_org_free_fedora_development_rawhide_Everything_basearch_os'}], 'sandbox': 'ycollet/audinux--ycollet', 'source_json': {}, 'source_type': None, 'ssh_public_keys': None, 'storage': None, 'submitter': 'ycollet', 'tags': [], 'task_id': '9561076-fedora-43-x86_64', 'timeout': 18000, 'uses_devel_repo': False, 'with_opts': [], 'without_opts': []} Running: git clone https://copr-dist-git.fedorainfracloud.org/git/ycollet/audinux/aida-x /var/lib/copr-rpmbuild/workspace/workdir-mdx8bpal/aida-x --depth 500 --no-single-branch --recursive cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/ycollet/audinux/aida-x', '/var/lib/copr-rpmbuild/workspace/workdir-mdx8bpal/aida-x', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-mdx8bpal/aida-x'... Running: git checkout 1c164aade0026e526c75f63acd73454a3f23e350 -- cmd: ['git', 'checkout', '1c164aade0026e526c75f63acd73454a3f23e350', '--'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-mdx8bpal/aida-x rc: 0 stdout: stderr: Note: switching to '1c164aade0026e526c75f63acd73454a3f23e350'. You are in 'detached HEAD' state. You can look around, make experimental changes and commit them, and you can discard any commits you make in this state without impacting any branches by switching back to a branch. If you want to create a new branch to retain commits you create, you may do so (now or later) by using -c with the switch command. Example: git switch -c Or undo this operation with: git switch - Turn off this advice by setting config variable advice.detachedHead to false HEAD is now at 1c164aa automatic import of aida-x Running: dist-git-client sources cmd: ['dist-git-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-mdx8bpal/aida-x rc: 0 stdout: stderr: INFO: Reading stdout from command: git rev-parse --abbrev-ref HEAD INFO: Reading stdout from command: git rev-parse HEAD INFO: Reading sources specification file: sources INFO: Downloading AIDA-X.tar.gz INFO: Reading stdout from command: curl --help all INFO: Calling: curl -H Pragma: -o AIDA-X.tar.gz --location --connect-timeout 60 --retry 3 --retry-delay 10 --remote-time --show-error --fail --retry-all-errors https://copr-dist-git.fedorainfracloud.org/repo/pkgs/ycollet/audinux/aida-x/AIDA-X.tar.gz/md5/f3d8121b0fd5cb8fd4ee9a71820691f5/AIDA-X.tar.gz % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 20.4M 100 20.4M 0 0 33.6M 0 --:--:-- --:--:-- --:--:-- 33.7M INFO: Reading stdout from command: md5sum AIDA-X.tar.gz tail: /var/lib/copr-rpmbuild/main.log: file truncated Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-mdx8bpal/aida-x/aidax.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-mdx8bpal/aida-x --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1758072343.269884 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 6.3 starting (python version = 3.13.7, NVR = mock-6.3-1.fc42), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-mdx8bpal/aida-x/aidax.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-mdx8bpal/aida-x --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1758072343.269884 -r /var/lib/copr-rpmbuild/results/configs/child.cfg Start(bootstrap): init plugins INFO: tmpfs initialized INFO: selinux enabled INFO: chroot_scan: initialized INFO: compress_logs: initialized Finish(bootstrap): init plugins Start: init plugins INFO: tmpfs initialized INFO: selinux enabled INFO: chroot_scan: initialized INFO: compress_logs: initialized Finish: init plugins INFO: Signal handler active Start: run INFO: Start(/var/lib/copr-rpmbuild/workspace/workdir-mdx8bpal/aida-x/aidax.spec) Config(fedora-43-x86_64) Start: clean chroot Finish: clean chroot Mock Version: 6.3 INFO: Mock Version: 6.3 Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-43-x86_64-bootstrap-1758072343.269884/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start(bootstrap): cleaning package manager metadata Finish(bootstrap): cleaning package manager metadata INFO: Guessed host environment type: unknown INFO: Using container image: registry.fedoraproject.org/fedora:43 INFO: Pulling image: registry.fedoraproject.org/fedora:43 INFO: Tagging container image as mock-bootstrap-a94b5b33-8d4f-4324-8430-d83bee3f5152 INFO: Checking that 20fcf66a8287d530e033b301e2fed50c6dde931778cafea759f27226aae00f70 image matches host's architecture INFO: Copy content of container 20fcf66a8287d530e033b301e2fed50c6dde931778cafea759f27226aae00f70 to /var/lib/mock/fedora-43-x86_64-bootstrap-1758072343.269884/root INFO: mounting 20fcf66a8287d530e033b301e2fed50c6dde931778cafea759f27226aae00f70 with podman image mount INFO: image 20fcf66a8287d530e033b301e2fed50c6dde931778cafea759f27226aae00f70 as /var/lib/containers/storage/overlay/5b6008a3c8c3b3d1d16b9e05e9b0b6aef758a72d4aed0ffd5da4a73718fd8f68/merged INFO: umounting image 20fcf66a8287d530e033b301e2fed50c6dde931778cafea759f27226aae00f70 (/var/lib/containers/storage/overlay/5b6008a3c8c3b3d1d16b9e05e9b0b6aef758a72d4aed0ffd5da4a73718fd8f68/merged) with podman image umount INFO: Removing image mock-bootstrap-a94b5b33-8d4f-4324-8430-d83bee3f5152 INFO: Package manager dnf5 detected and used (fallback) INFO: Not updating bootstrap chroot, bootstrap_image_ready=True Start(bootstrap): creating root cache Finish(bootstrap): creating root cache Finish(bootstrap): chroot init Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-43-x86_64-1758072343.269884/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Package manager dnf5 detected and used (direct choice) INFO: Buildroot is handled by package management downloaded with a bootstrap image: rpm-5.99.91-5.fc43.x86_64 rpm-sequoia-1.9.0-2.fc43.x86_64 dnf5-5.2.17.0-1.fc43.x86_64 dnf5-plugins-5.2.17.0-1.fc43.x86_64 Start: installing minimal buildroot with dnf5 Updating and loading repositories: Copr repository 100% | 300.5 KiB/s | 116.3 KiB | 00m00s fedora 100% | 58.2 MiB/s | 69.3 MiB | 00m01s updates 100% | 30.1 KiB/s | 33.3 KiB | 00m01s Additional repo https_download1_rpmfus 100% | 132.2 KiB/s | 148.4 KiB | 00m01s Repositories loaded. Package Arch Version Repository Size Installing group/module packages: bash x86_64 5.3.0-2.fc43 fedora 8.4 MiB bzip2 x86_64 1.0.8-21.fc43 fedora 95.3 KiB coreutils x86_64 9.7-5.fc43 fedora 5.4 MiB cpio x86_64 2.15-6.fc43 fedora 1.1 MiB diffutils x86_64 3.12-3.fc43 fedora 1.6 MiB fedora-release-common noarch 43-0.22 fedora 20.4 KiB findutils x86_64 1:4.10.0-6.fc43 fedora 1.8 MiB gawk x86_64 5.3.2-2.fc43 fedora 1.8 MiB glibc-minimal-langpack x86_64 2.42-4.fc43 fedora 0.0 B grep x86_64 3.12-2.fc43 fedora 1.0 MiB gzip x86_64 1.13-4.fc43 fedora 388.8 KiB info x86_64 7.2-6.fc43 fedora 353.9 KiB patch x86_64 2.8-2.fc43 fedora 222.8 KiB redhat-rpm-config noarch 343-11.fc43 fedora 182.9 KiB rpm-build x86_64 5.99.91-5.fc43 fedora 285.5 KiB sed x86_64 4.9-5.fc43 fedora 857.3 KiB shadow-utils x86_64 2:4.18.0-3.fc43 fedora 3.9 MiB tar x86_64 2:1.35-6.fc43 fedora 2.9 MiB unzip x86_64 6.0-67.fc43 fedora 386.3 KiB util-linux x86_64 2.41.1-16.fc43 fedora 3.5 MiB which x86_64 2.23-3.fc43 fedora 83.5 KiB xz x86_64 1:5.8.1-2.fc43 fedora 1.3 MiB Installing dependencies: add-determinism x86_64 0.6.0-2.fc43 fedora 2.4 MiB alternatives x86_64 1.33-2.fc43 fedora 62.2 KiB ansible-srpm-macros noarch 1-18.1.fc43 fedora 35.7 KiB audit-libs x86_64 4.1.1-2.fc43 fedora 378.8 KiB binutils x86_64 2.45-1.fc43 fedora 26.5 MiB build-reproducibility-srpm-macros noarch 0.6.0-2.fc43 fedora 735.0 B bzip2-libs x86_64 1.0.8-21.fc43 fedora 80.6 KiB ca-certificates noarch 2025.2.80_v9.0.304-1.1.fc43 fedora 2.7 MiB coreutils-common x86_64 9.7-5.fc43 fedora 11.3 MiB crypto-policies noarch 20250714-4.gitcd6043a.fc43 fedora 146.9 KiB curl x86_64 8.15.0-2.fc43 fedora 473.6 KiB cyrus-sasl-lib x86_64 2.1.28-33.fc43 fedora 2.3 MiB debugedit x86_64 5.2-3.fc43 fedora 214.0 KiB dwz x86_64 0.16-2.fc43 fedora 287.1 KiB ed x86_64 1.22.2-1.fc43 fedora 148.1 KiB efi-srpm-macros noarch 6-4.fc43 fedora 40.1 KiB elfutils x86_64 0.193-3.fc43 fedora 2.9 MiB elfutils-debuginfod-client x86_64 0.193-3.fc43 fedora 83.9 KiB elfutils-default-yama-scope noarch 0.193-3.fc43 fedora 1.8 KiB elfutils-libelf x86_64 0.193-3.fc43 fedora 1.2 MiB elfutils-libs x86_64 0.193-3.fc43 fedora 683.4 KiB fedora-gpg-keys noarch 43-0.4 fedora 131.2 KiB fedora-release noarch 43-0.22 fedora 0.0 B fedora-release-identity-basic noarch 43-0.22 fedora 658.0 B fedora-repos noarch 43-0.4 fedora 4.9 KiB file x86_64 5.46-7.fc43 fedora 100.2 KiB file-libs x86_64 5.46-7.fc43 fedora 11.9 MiB filesystem x86_64 3.18-50.fc43 fedora 112.0 B filesystem-srpm-macros noarch 3.18-50.fc43 fedora 38.2 KiB fonts-srpm-macros noarch 1:2.0.5-23.fc43 fedora 55.8 KiB forge-srpm-macros noarch 0.4.0-3.fc43 fedora 38.9 KiB fpc-srpm-macros noarch 1.3-15.fc43 fedora 144.0 B gap-srpm-macros noarch 1-1.fc43 fedora 2.0 KiB gdb-minimal x86_64 16.3-5.fc43 fedora 13.3 MiB gdbm-libs x86_64 1:1.23-10.fc43 fedora 129.9 KiB ghc-srpm-macros noarch 1.9.2-3.fc43 fedora 779.0 B glibc x86_64 2.42-4.fc43 fedora 6.7 MiB glibc-common x86_64 2.42-4.fc43 fedora 1.0 MiB glibc-gconv-extra x86_64 2.42-4.fc43 fedora 7.2 MiB gmp x86_64 1:6.3.0-4.fc43 fedora 811.2 KiB gnat-srpm-macros noarch 6-8.fc43 fedora 1.0 KiB gnupg2 x86_64 2.4.8-4.fc43 fedora 6.5 MiB gnupg2-dirmngr x86_64 2.4.8-4.fc43 fedora 618.4 KiB gnupg2-gpg-agent x86_64 2.4.8-4.fc43 fedora 671.4 KiB gnupg2-gpgconf x86_64 2.4.8-4.fc43 fedora 250.0 KiB gnupg2-keyboxd x86_64 2.4.8-4.fc43 fedora 201.4 KiB gnupg2-verify x86_64 2.4.8-4.fc43 fedora 348.5 KiB gnutls x86_64 3.8.10-3.fc43 fedora 3.8 MiB go-srpm-macros noarch 3.7.0-4.fc43 fedora 61.6 KiB gpgverify noarch 2.2-3.fc43 fedora 8.7 KiB ima-evm-utils-libs x86_64 1.6.2-6.fc43 fedora 60.7 KiB jansson x86_64 2.14-3.fc43 fedora 89.1 KiB java-srpm-macros noarch 1-7.fc43 fedora 870.0 B json-c x86_64 0.18-7.fc43 fedora 82.7 KiB kernel-srpm-macros noarch 1.0-27.fc43 fedora 1.9 KiB keyutils-libs x86_64 1.6.3-6.fc43 fedora 54.3 KiB krb5-libs x86_64 1.21.3-7.fc43 fedora 2.3 MiB libacl x86_64 2.3.2-4.fc43 fedora 35.9 KiB libarchive x86_64 3.8.1-3.fc43 fedora 951.1 KiB libassuan x86_64 2.5.7-4.fc43 fedora 163.8 KiB libattr x86_64 2.5.2-6.fc43 fedora 24.4 KiB libblkid x86_64 2.41.1-16.fc43 fedora 262.4 KiB libbrotli x86_64 1.1.0-9.fc43 fedora 833.3 KiB libcap x86_64 2.76-3.fc43 fedora 209.1 KiB libcap-ng x86_64 0.8.5-7.fc43 fedora 68.9 KiB libcom_err x86_64 1.47.3-2.fc43 fedora 63.1 KiB libcurl x86_64 8.15.0-2.fc43 fedora 903.2 KiB libeconf x86_64 0.7.9-2.fc43 fedora 64.9 KiB libevent x86_64 2.1.12-16.fc43 fedora 883.1 KiB libfdisk x86_64 2.41.1-16.fc43 fedora 380.4 KiB libffi x86_64 3.5.1-2.fc43 fedora 83.6 KiB libfsverity x86_64 1.6-3.fc43 fedora 28.5 KiB libgcc x86_64 15.2.1-1.fc43.1 fedora 266.6 KiB libgcrypt x86_64 1.11.1-2.fc43 fedora 1.6 MiB libgomp x86_64 15.2.1-1.fc43.1 fedora 541.1 KiB libgpg-error x86_64 1.55-2.fc43 fedora 915.3 KiB libidn2 x86_64 2.3.8-2.fc43 fedora 552.5 KiB libksba x86_64 1.6.7-4.fc43 fedora 398.5 KiB liblastlog2 x86_64 2.41.1-16.fc43 fedora 33.9 KiB libmount x86_64 2.41.1-16.fc43 fedora 372.7 KiB libnghttp2 x86_64 1.66.0-2.fc43 fedora 162.2 KiB libpkgconf x86_64 2.3.0-3.fc43 fedora 78.1 KiB libpsl x86_64 0.21.5-6.fc43 fedora 76.4 KiB libselinux x86_64 3.9-4.fc43 fedora 193.1 KiB libsemanage x86_64 3.9-3.fc43 fedora 308.5 KiB libsepol x86_64 3.9-2.fc43 fedora 822.0 KiB libsmartcols x86_64 2.41.1-16.fc43 fedora 180.5 KiB libssh x86_64 0.11.2-2.fc43 fedora 566.7 KiB libssh-config noarch 0.11.2-2.fc43 fedora 277.0 B libstdc++ x86_64 15.2.1-1.fc43.1 fedora 2.8 MiB libtasn1 x86_64 4.20.0-2.fc43 fedora 176.3 KiB libtool-ltdl x86_64 2.5.4-7.fc43 fedora 70.1 KiB libunistring x86_64 1.1-10.fc43 fedora 1.7 MiB libusb1 x86_64 1.0.29-4.fc43 fedora 171.3 KiB libuuid x86_64 2.41.1-16.fc43 fedora 37.4 KiB libverto x86_64 0.3.2-11.fc43 fedora 25.4 KiB libxcrypt x86_64 4.4.38-8.fc43 fedora 284.5 KiB libxml2 x86_64 2.12.10-4.fc43 fedora 1.7 MiB libzstd x86_64 1.5.7-2.fc43 fedora 799.9 KiB lua-libs x86_64 5.4.8-2.fc43 fedora 280.8 KiB lua-srpm-macros noarch 1-16.fc43 fedora 1.3 KiB lz4-libs x86_64 1.10.0-3.fc43 fedora 161.4 KiB mpfr x86_64 4.2.2-2.fc43 fedora 832.8 KiB ncurses-base noarch 6.5-7.20250614.fc43 fedora 328.1 KiB ncurses-libs x86_64 6.5-7.20250614.fc43 fedora 946.3 KiB nettle x86_64 3.10.1-2.fc43 fedora 790.6 KiB npth x86_64 1.8-3.fc43 fedora 49.6 KiB ocaml-srpm-macros noarch 11-2.fc43 fedora 1.9 KiB openblas-srpm-macros noarch 2-20.fc43 fedora 112.0 B openldap x86_64 2.6.10-4.fc43 fedora 659.9 KiB openssl-libs x86_64 1:3.5.1-2.fc43 fedora 8.9 MiB p11-kit x86_64 0.25.5-10.fc43 fedora 2.2 MiB p11-kit-trust x86_64 0.25.5-10.fc43 fedora 395.5 KiB package-notes-srpm-macros noarch 0.5-14.fc43 fedora 1.6 KiB pam-libs x86_64 1.7.1-3.fc43 fedora 126.8 KiB pcre2 x86_64 10.45-1.fc43.1 fedora 697.7 KiB pcre2-syntax noarch 10.45-1.fc43.1 fedora 273.9 KiB perl-srpm-macros noarch 1-60.fc43 fedora 861.0 B pkgconf x86_64 2.3.0-3.fc43 fedora 88.5 KiB pkgconf-m4 noarch 2.3.0-3.fc43 fedora 14.4 KiB pkgconf-pkg-config x86_64 2.3.0-3.fc43 fedora 989.0 B popt x86_64 1.19-9.fc43 fedora 132.8 KiB publicsuffix-list-dafsa noarch 20250616-2.fc43 fedora 69.1 KiB pyproject-srpm-macros noarch 1.18.3-2.fc43 fedora 1.9 KiB python-srpm-macros noarch 3.14-5.fc43 fedora 51.5 KiB qt5-srpm-macros noarch 5.15.17-2.fc43 fedora 500.0 B qt6-srpm-macros noarch 6.9.2-1.fc43 fedora 464.0 B readline x86_64 8.3-2.fc43 fedora 511.7 KiB rpm x86_64 5.99.91-5.fc43 fedora 3.0 MiB rpm-build-libs x86_64 5.99.91-5.fc43 fedora 268.4 KiB rpm-libs x86_64 5.99.91-5.fc43 fedora 933.7 KiB rpm-sequoia x86_64 1.9.0-2.fc43 fedora 2.5 MiB rpm-sign-libs x86_64 5.99.91-5.fc43 fedora 39.7 KiB rust-srpm-macros noarch 26.4-1.fc43 fedora 4.8 KiB setup noarch 2.15.0-26.fc43 fedora 725.0 KiB sqlite-libs x86_64 3.50.2-2.fc43 fedora 1.5 MiB systemd-libs x86_64 258~rc4-1.fc43 fedora 2.3 MiB systemd-standalone-sysusers x86_64 258~rc4-1.fc43 fedora 293.5 KiB tpm2-tss x86_64 4.1.3-8.fc43 fedora 1.6 MiB tree-sitter-srpm-macros noarch 0.4.2-1.fc43 fedora 8.3 KiB util-linux-core x86_64 2.41.1-16.fc43 fedora 1.5 MiB xxhash-libs x86_64 0.8.3-3.fc43 fedora 90.2 KiB xz-libs x86_64 1:5.8.1-2.fc43 fedora 217.8 KiB zig-srpm-macros noarch 1-5.fc43 fedora 1.1 KiB zip x86_64 3.0-44.fc43 fedora 694.5 KiB zlib-ng-compat x86_64 2.2.5-1.fc43 fedora 137.6 KiB zstd x86_64 1.5.7-2.fc43 fedora 1.7 MiB Installing groups: Buildsystem building group Transaction Summary: Installing: 169 packages Total size of inbound packages is 59 MiB. Need to download 59 MiB. After this operation, 198 MiB extra will be used (install 198 MiB, remove 0 B). [ 1/169] bzip2-0:1.0.8-21.fc43.x86_64 100% | 3.6 MiB/s | 51.6 KiB | 00m00s [ 2/169] bash-0:5.3.0-2.fc43.x86_64 100% | 110.0 MiB/s | 1.9 MiB | 00m00s [ 3/169] cpio-0:2.15-6.fc43.x86_64 100% | 71.6 MiB/s | 293.1 KiB | 00m00s [ 4/169] fedora-release-common-0:43-0. 100% | 24.4 MiB/s | 25.0 KiB | 00m00s [ 5/169] diffutils-0:3.12-3.fc43.x86_6 100% | 95.8 MiB/s | 392.3 KiB | 00m00s [ 6/169] coreutils-0:9.7-5.fc43.x86_64 100% | 47.5 MiB/s | 1.1 MiB | 00m00s [ 7/169] glibc-minimal-langpack-0:2.42 100% | 12.5 MiB/s | 38.3 KiB | 00m00s [ 8/169] findutils-1:4.10.0-6.fc43.x86 100% | 89.5 MiB/s | 550.0 KiB | 00m00s [ 9/169] grep-0:3.12-2.fc43.x86_64 100% | 73.0 MiB/s | 299.1 KiB | 00m00s [ 10/169] gzip-0:1.13-4.fc43.x86_64 100% | 33.2 MiB/s | 170.1 KiB | 00m00s [ 11/169] patch-0:2.8-2.fc43.x86_64 100% | 15.9 MiB/s | 113.8 KiB | 00m00s [ 12/169] redhat-rpm-config-0:343-11.fc 100% | 12.9 MiB/s | 79.1 KiB | 00m00s [ 13/169] info-0:7.2-6.fc43.x86_64 100% | 17.9 MiB/s | 182.9 KiB | 00m00s [ 14/169] sed-0:4.9-5.fc43.x86_64 100% | 28.1 MiB/s | 317.1 KiB | 00m00s [ 15/169] rpm-build-0:5.99.91-5.fc43.x8 100% | 9.5 MiB/s | 135.5 KiB | 00m00s [ 16/169] shadow-utils-2:4.18.0-3.fc43. 100% | 85.5 MiB/s | 1.3 MiB | 00m00s [ 17/169] tar-2:1.35-6.fc43.x86_64 100% | 119.5 MiB/s | 856.4 KiB | 00m00s [ 18/169] unzip-0:6.0-67.fc43.x86_64 100% | 35.9 MiB/s | 183.7 KiB | 00m00s [ 19/169] which-0:2.23-3.fc43.x86_64 100% | 10.2 MiB/s | 41.7 KiB | 00m00s [ 20/169] xz-1:5.8.1-2.fc43.x86_64 100% | 111.8 MiB/s | 572.5 KiB | 00m00s [ 21/169] gawk-0:5.3.2-2.fc43.x86_64 100% | 125.0 MiB/s | 1.1 MiB | 00m00s [ 22/169] util-linux-0:2.41.1-16.fc43.x 100% | 119.1 MiB/s | 1.2 MiB | 00m00s [ 23/169] filesystem-0:3.18-50.fc43.x86 100% | 166.7 MiB/s | 1.3 MiB | 00m00s [ 24/169] ncurses-libs-0:6.5-7.20250614 100% | 54.2 MiB/s | 332.7 KiB | 00m00s [ 25/169] bzip2-libs-0:1.0.8-21.fc43.x8 100% | 10.5 MiB/s | 43.1 KiB | 00m00s [ 26/169] glibc-0:2.42-4.fc43.x86_64 100% | 183.7 MiB/s | 2.2 MiB | 00m00s [ 27/169] gmp-1:6.3.0-4.fc43.x86_64 100% | 62.4 MiB/s | 319.3 KiB | 00m00s [ 28/169] libacl-0:2.3.2-4.fc43.x86_64 100% | 23.7 MiB/s | 24.3 KiB | 00m00s [ 29/169] libattr-0:2.5.2-6.fc43.x86_64 100% | 5.8 MiB/s | 17.9 KiB | 00m00s [ 30/169] libcap-0:2.76-3.fc43.x86_64 100% | 28.3 MiB/s | 86.9 KiB | 00m00s [ 31/169] libselinux-0:3.9-4.fc43.x86_6 100% | 23.8 MiB/s | 97.6 KiB | 00m00s [ 32/169] coreutils-common-0:9.7-5.fc43 100% | 131.3 MiB/s | 2.1 MiB | 00m00s [ 33/169] fedora-repos-0:43-0.4.noarch 100% | 4.4 MiB/s | 9.1 KiB | 00m00s [ 34/169] systemd-libs-0:258~rc4-1.fc43 100% | 80.3 MiB/s | 822.0 KiB | 00m00s [ 35/169] glibc-common-0:2.42-4.fc43.x8 100% | 52.9 MiB/s | 325.2 KiB | 00m00s [ 36/169] openssl-libs-1:3.5.1-2.fc43.x 100% | 137.7 MiB/s | 2.6 MiB | 00m00s [ 37/169] pcre2-0:10.45-1.fc43.1.x86_64 100% | 42.6 MiB/s | 261.9 KiB | 00m00s [ 38/169] ed-0:1.22.2-1.fc43.x86_64 100% | 20.4 MiB/s | 83.7 KiB | 00m00s [ 39/169] ansible-srpm-macros-0:1-18.1. 100% | 9.7 MiB/s | 19.9 KiB | 00m00s [ 40/169] build-reproducibility-srpm-ma 100% | 11.5 MiB/s | 11.8 KiB | 00m00s [ 41/169] dwz-0:0.16-2.fc43.x86_64 100% | 44.1 MiB/s | 135.5 KiB | 00m00s [ 42/169] file-0:5.46-7.fc43.x86_64 100% | 23.8 MiB/s | 48.7 KiB | 00m00s [ 43/169] efi-srpm-macros-0:6-4.fc43.no 100% | 7.3 MiB/s | 22.4 KiB | 00m00s [ 44/169] fonts-srpm-macros-1:2.0.5-23. 100% | 13.3 MiB/s | 27.2 KiB | 00m00s [ 45/169] filesystem-srpm-macros-0:3.18 100% | 12.9 MiB/s | 26.4 KiB | 00m00s [ 46/169] forge-srpm-macros-0:0.4.0-3.f 100% | 9.8 MiB/s | 20.1 KiB | 00m00s [ 47/169] fpc-srpm-macros-0:1.3-15.fc43 100% | 3.9 MiB/s | 7.9 KiB | 00m00s [ 48/169] gap-srpm-macros-0:1-1.fc43.no 100% | 2.8 MiB/s | 8.6 KiB | 00m00s [ 49/169] ghc-srpm-macros-0:1.9.2-3.fc4 100% | 2.8 MiB/s | 8.7 KiB | 00m00s [ 50/169] gnat-srpm-macros-0:6-8.fc43.n 100% | 1.7 MiB/s | 8.5 KiB | 00m00s [ 51/169] java-srpm-macros-0:1-7.fc43.n 100% | 1.9 MiB/s | 7.9 KiB | 00m00s [ 52/169] go-srpm-macros-0:3.7.0-4.fc43 100% | 5.5 MiB/s | 28.1 KiB | 00m00s [ 53/169] kernel-srpm-macros-0:1.0-27.f 100% | 1.5 MiB/s | 8.9 KiB | 00m00s [ 54/169] lua-srpm-macros-0:1-16.fc43.n 100% | 1.4 MiB/s | 8.8 KiB | 00m00s [ 55/169] ocaml-srpm-macros-0:11-2.fc43 100% | 1.8 MiB/s | 9.3 KiB | 00m00s [ 56/169] openblas-srpm-macros-0:2-20.f 100% | 2.5 MiB/s | 7.6 KiB | 00m00s [ 57/169] package-notes-srpm-macros-0:0 100% | 2.2 MiB/s | 9.0 KiB | 00m00s [ 58/169] perl-srpm-macros-0:1-60.fc43. 100% | 2.0 MiB/s | 8.3 KiB | 00m00s [ 59/169] qt5-srpm-macros-0:5.15.17-2.f 100% | 4.2 MiB/s | 8.7 KiB | 00m00s [ 60/169] python-srpm-macros-0:3.14-5.f 100% | 7.6 MiB/s | 23.4 KiB | 00m00s [ 61/169] pyproject-srpm-macros-0:1.18. 100% | 4.4 MiB/s | 13.4 KiB | 00m00s [ 62/169] qt6-srpm-macros-0:6.9.2-1.fc4 100% | 4.6 MiB/s | 9.4 KiB | 00m00s [ 63/169] rust-srpm-macros-0:26.4-1.fc4 100% | 5.4 MiB/s | 11.1 KiB | 00m00s [ 64/169] rpm-0:5.99.91-5.fc43.x86_64 100% | 137.3 MiB/s | 562.2 KiB | 00m00s [ 65/169] zig-srpm-macros-0:1-5.fc43.no 100% | 8.2 MiB/s | 8.4 KiB | 00m00s [ 66/169] tree-sitter-srpm-macros-0:0.4 100% | 6.5 MiB/s | 13.4 KiB | 00m00s [ 67/169] zip-0:3.0-44.fc43.x86_64 100% | 85.1 MiB/s | 261.6 KiB | 00m00s [ 68/169] debugedit-0:5.2-3.fc43.x86_64 100% | 20.9 MiB/s | 85.6 KiB | 00m00s [ 69/169] elfutils-0:0.193-3.fc43.x86_6 100% | 93.0 MiB/s | 571.3 KiB | 00m00s [ 70/169] elfutils-libelf-0:0.193-3.fc4 100% | 50.7 MiB/s | 207.8 KiB | 00m00s [ 71/169] libarchive-0:3.8.1-3.fc43.x86 100% | 68.5 MiB/s | 421.1 KiB | 00m00s [ 72/169] libgcc-0:15.2.1-1.fc43.1.x86_ 100% | 25.7 MiB/s | 131.8 KiB | 00m00s [ 73/169] popt-0:1.19-9.fc43.x86_64 100% | 16.0 MiB/s | 65.7 KiB | 00m00s [ 74/169] readline-0:8.3-2.fc43.x86_64 100% | 54.8 MiB/s | 224.6 KiB | 00m00s [ 75/169] libstdc++-0:15.2.1-1.fc43.1.x 100% | 89.7 MiB/s | 919.0 KiB | 00m00s [ 76/169] rpm-build-libs-0:5.99.91-5.fc 100% | 31.3 MiB/s | 128.1 KiB | 00m00s [ 77/169] rpm-libs-0:5.99.91-5.fc43.x86 100% | 130.1 MiB/s | 399.6 KiB | 00m00s [ 78/169] libeconf-0:0.7.9-2.fc43.x86_6 100% | 6.9 MiB/s | 35.2 KiB | 00m00s [ 79/169] audit-libs-0:4.1.1-2.fc43.x86 100% | 19.3 MiB/s | 138.5 KiB | 00m00s [ 80/169] zstd-0:1.5.7-2.fc43.x86_64 100% | 39.5 MiB/s | 485.9 KiB | 00m00s [ 81/169] libxcrypt-0:4.4.38-8.fc43.x86 100% | 12.4 MiB/s | 127.0 KiB | 00m00s [ 82/169] pam-libs-0:1.7.1-3.fc43.x86_6 100% | 7.0 MiB/s | 57.5 KiB | 00m00s [ 83/169] libsemanage-0:3.9-3.fc43.x86_ 100% | 9.3 MiB/s | 123.5 KiB | 00m00s [ 84/169] setup-0:2.15.0-26.fc43.noarch 100% | 30.7 MiB/s | 157.3 KiB | 00m00s [ 85/169] xz-libs-1:5.8.1-2.fc43.x86_64 100% | 22.1 MiB/s | 112.9 KiB | 00m00s [ 86/169] mpfr-0:4.2.2-2.fc43.x86_64 100% | 56.5 MiB/s | 347.0 KiB | 00m00s [ 87/169] libblkid-0:2.41.1-16.fc43.x86 100% | 40.1 MiB/s | 123.1 KiB | 00m00s [ 88/169] libcap-ng-0:0.8.5-7.fc43.x86_ 100% | 15.7 MiB/s | 32.2 KiB | 00m00s [ 89/169] liblastlog2-0:2.41.1-16.fc43. 100% | 22.6 MiB/s | 23.2 KiB | 00m00s [ 90/169] libmount-0:2.41.1-16.fc43.x86 100% | 79.3 MiB/s | 162.4 KiB | 00m00s [ 91/169] libfdisk-0:2.41.1-16.fc43.x86 100% | 52.5 MiB/s | 161.1 KiB | 00m00s [ 92/169] libuuid-0:2.41.1-16.fc43.x86_ 100% | 25.4 MiB/s | 26.0 KiB | 00m00s [ 93/169] libsmartcols-0:2.41.1-16.fc43 100% | 41.0 MiB/s | 84.0 KiB | 00m00s [ 94/169] zlib-ng-compat-0:2.2.5-1.fc43 100% | 25.8 MiB/s | 79.2 KiB | 00m00s [ 95/169] util-linux-core-0:2.41.1-16.f 100% | 59.8 MiB/s | 550.9 KiB | 00m00s [ 96/169] ncurses-base-0:6.5-7.20250614 100% | 9.6 MiB/s | 88.2 KiB | 00m00s [ 97/169] libsepol-0:3.9-2.fc43.x86_64 100% | 84.3 MiB/s | 345.4 KiB | 00m00s [ 98/169] glibc-gconv-extra-0:2.42-4.fc 100% | 105.7 MiB/s | 1.6 MiB | 00m00s [ 99/169] crypto-policies-0:20250714-4. 100% | 24.0 MiB/s | 98.3 KiB | 00m00s [100/169] ca-certificates-0:2025.2.80_v 100% | 105.8 MiB/s | 975.4 KiB | 00m00s [101/169] fedora-gpg-keys-0:43-0.4.noar 100% | 33.9 MiB/s | 138.8 KiB | 00m00s [102/169] pcre2-syntax-0:10.45-1.fc43.1 100% | 39.5 MiB/s | 161.7 KiB | 00m00s [103/169] curl-0:8.15.0-2.fc43.x86_64 100% | 76.1 MiB/s | 233.7 KiB | 00m00s [104/169] file-libs-0:5.46-7.fc43.x86_6 100% | 138.3 MiB/s | 849.9 KiB | 00m00s [105/169] add-determinism-0:0.6.0-2.fc4 100% | 128.3 MiB/s | 919.3 KiB | 00m00s [106/169] elfutils-libs-0:0.193-3.fc43. 100% | 87.8 MiB/s | 269.7 KiB | 00m00s [107/169] elfutils-debuginfod-client-0: 100% | 15.2 MiB/s | 46.8 KiB | 00m00s [108/169] libzstd-0:1.5.7-2.fc43.x86_64 100% | 102.4 MiB/s | 314.6 KiB | 00m00s [109/169] lz4-libs-0:1.10.0-3.fc43.x86_ 100% | 25.4 MiB/s | 78.0 KiB | 00m00s [110/169] libxml2-0:2.12.10-4.fc43.x86_ 100% | 135.2 MiB/s | 692.5 KiB | 00m00s [111/169] libgomp-0:15.2.1-1.fc43.1.x86 100% | 90.7 MiB/s | 371.6 KiB | 00m00s [112/169] lua-libs-0:5.4.8-2.fc43.x86_6 100% | 32.2 MiB/s | 131.7 KiB | 00m00s [113/169] rpm-sign-libs-0:5.99.91-5.fc4 100% | 9.1 MiB/s | 28.0 KiB | 00m00s [114/169] elfutils-default-yama-scope-0 100% | 12.1 MiB/s | 12.4 KiB | 00m00s [115/169] sqlite-libs-0:3.50.2-2.fc43.x 100% | 185.7 MiB/s | 760.5 KiB | 00m00s [116/169] rpm-sequoia-0:1.9.0-2.fc43.x8 100% | 151.9 MiB/s | 933.3 KiB | 00m00s [117/169] json-c-0:0.18-7.fc43.x86_64 100% | 11.0 MiB/s | 45.0 KiB | 00m00s [118/169] libfsverity-0:1.6-3.fc43.x86_ 100% | 18.2 MiB/s | 18.6 KiB | 00m00s [119/169] ima-evm-utils-libs-0:1.6.2-6. 100% | 14.3 MiB/s | 29.3 KiB | 00m00s [120/169] gpgverify-0:2.2-3.fc43.noarch 100% | 5.4 MiB/s | 11.1 KiB | 00m00s [121/169] gnupg2-dirmngr-0:2.4.8-4.fc43 100% | 67.1 MiB/s | 274.6 KiB | 00m00s [122/169] gnupg2-gpg-agent-0:2.4.8-4.fc 100% | 66.6 MiB/s | 272.9 KiB | 00m00s [123/169] gnupg2-0:2.4.8-4.fc43.x86_64 100% | 126.5 MiB/s | 1.6 MiB | 00m00s [124/169] gnupg2-gpgconf-0:2.4.8-4.fc43 100% | 22.5 MiB/s | 115.0 KiB | 00m00s [125/169] gnupg2-keyboxd-0:2.4.8-4.fc43 100% | 23.1 MiB/s | 94.7 KiB | 00m00s [126/169] gnupg2-verify-0:2.4.8-4.fc43. 100% | 55.7 MiB/s | 171.2 KiB | 00m00s [127/169] libassuan-0:2.5.7-4.fc43.x86_ 100% | 21.9 MiB/s | 67.4 KiB | 00m00s [128/169] libgcrypt-0:1.11.1-2.fc43.x86 100% | 116.4 MiB/s | 595.8 KiB | 00m00s [129/169] npth-0:1.8-3.fc43.x86_64 100% | 8.4 MiB/s | 25.7 KiB | 00m00s [130/169] libgpg-error-0:1.55-2.fc43.x8 100% | 39.8 MiB/s | 244.3 KiB | 00m00s [131/169] libksba-0:1.6.7-4.fc43.x86_64 100% | 31.3 MiB/s | 160.4 KiB | 00m00s [132/169] tpm2-tss-0:4.1.3-8.fc43.x86_6 100% | 46.2 MiB/s | 425.9 KiB | 00m00s [133/169] gnutls-0:3.8.10-3.fc43.x86_64 100% | 93.5 MiB/s | 1.4 MiB | 00m00s [134/169] openldap-0:2.6.10-4.fc43.x86_ 100% | 25.4 MiB/s | 259.6 KiB | 00m00s [135/169] libusb1-0:1.0.29-4.fc43.x86_6 100% | 8.7 MiB/s | 79.9 KiB | 00m00s [136/169] libidn2-0:2.3.8-2.fc43.x86_64 100% | 34.2 MiB/s | 174.9 KiB | 00m00s [137/169] libtasn1-0:4.20.0-2.fc43.x86_ 100% | 24.2 MiB/s | 74.5 KiB | 00m00s [138/169] libunistring-0:1.1-10.fc43.x8 100% | 132.6 MiB/s | 542.9 KiB | 00m00s [139/169] nettle-0:3.10.1-2.fc43.x86_64 100% | 103.6 MiB/s | 424.2 KiB | 00m00s [140/169] p11-kit-0:0.25.5-10.fc43.x86_ 100% | 95.4 MiB/s | 488.6 KiB | 00m00s [141/169] cyrus-sasl-lib-0:2.1.28-33.fc 100% | 128.2 MiB/s | 787.9 KiB | 00m00s [142/169] libevent-0:2.1.12-16.fc43.x86 100% | 50.3 MiB/s | 257.8 KiB | 00m00s [143/169] libtool-ltdl-0:2.5.4-7.fc43.x 100% | 8.8 MiB/s | 36.2 KiB | 00m00s [144/169] libffi-0:3.5.1-2.fc43.x86_64 100% | 20.0 MiB/s | 40.9 KiB | 00m00s [145/169] gdbm-libs-1:1.23-10.fc43.x86_ 100% | 27.7 MiB/s | 56.8 KiB | 00m00s [146/169] alternatives-0:1.33-2.fc43.x8 100% | 19.9 MiB/s | 40.7 KiB | 00m00s [147/169] jansson-0:2.14-3.fc43.x86_64 100% | 22.1 MiB/s | 45.3 KiB | 00m00s [148/169] pkgconf-pkg-config-0:2.3.0-3. 100% | 4.7 MiB/s | 9.6 KiB | 00m00s [149/169] pkgconf-m4-0:2.3.0-3.fc43.noa 100% | 13.6 MiB/s | 13.9 KiB | 00m00s [150/169] pkgconf-0:2.3.0-3.fc43.x86_64 100% | 14.5 MiB/s | 44.6 KiB | 00m00s [151/169] libpkgconf-0:2.3.0-3.fc43.x86 100% | 12.3 MiB/s | 37.9 KiB | 00m00s [152/169] p11-kit-trust-0:0.25.5-10.fc4 100% | 25.9 MiB/s | 132.5 KiB | 00m00s [153/169] fedora-release-0:43-0.22.noar 100% | 6.8 MiB/s | 14.0 KiB | 00m00s [154/169] systemd-standalone-sysusers-0 100% | 70.2 MiB/s | 143.8 KiB | 00m00s [155/169] xxhash-libs-0:0.8.3-3.fc43.x8 100% | 12.5 MiB/s | 38.5 KiB | 00m00s [156/169] fedora-release-identity-basic 100% | 2.1 MiB/s | 14.7 KiB | 00m00s [157/169] libcurl-0:8.15.0-2.fc43.x86_6 100% | 49.4 MiB/s | 404.3 KiB | 00m00s [158/169] binutils-0:2.45-1.fc43.x86_64 100% | 125.0 MiB/s | 5.9 MiB | 00m00s [159/169] krb5-libs-0:1.21.3-7.fc43.x86 100% | 52.9 MiB/s | 758.9 KiB | 00m00s [160/169] gdb-minimal-0:16.3-5.fc43.x86 100% | 107.5 MiB/s | 4.4 MiB | 00m00s [161/169] libbrotli-0:1.1.0-9.fc43.x86_ 100% | 33.2 MiB/s | 339.9 KiB | 00m00s [162/169] libnghttp2-0:1.66.0-2.fc43.x8 100% | 11.8 MiB/s | 72.5 KiB | 00m00s [163/169] keyutils-libs-0:1.6.3-6.fc43. 100% | 15.3 MiB/s | 31.4 KiB | 00m00s [164/169] libpsl-0:0.21.5-6.fc43.x86_64 100% | 15.9 MiB/s | 65.0 KiB | 00m00s [165/169] libssh-0:0.11.2-2.fc43.x86_64 100% | 56.8 MiB/s | 232.7 KiB | 00m00s [166/169] libcom_err-0:1.47.3-2.fc43.x8 100% | 4.4 MiB/s | 26.8 KiB | 00m00s [167/169] publicsuffix-list-dafsa-0:202 100% | 11.6 MiB/s | 59.2 KiB | 00m00s [168/169] libverto-0:0.3.2-11.fc43.x86_ 100% | 2.9 MiB/s | 20.7 KiB | 00m00s [169/169] libssh-config-0:0.11.2-2.fc43 100% | 8.6 MiB/s | 8.9 KiB | 00m00s -------------------------------------------------------------------------------- [169/169] Total 100% | 162.3 MiB/s | 58.9 MiB | 00m00s Running transaction Importing OpenPGP key 0x31645531: UserID : "Fedora (43) " Fingerprint: C6E7F081CF80E13146676E88829B606631645531 From : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-43-primary The key was successfully imported. [ 1/171] Verify package files 100% | 710.0 B/s | 169.0 B | 00m00s [ 2/171] Prepare transaction 100% | 3.7 KiB/s | 169.0 B | 00m00s [ 3/171] Installing libgcc-0:15.2.1-1. 100% | 262.0 MiB/s | 268.3 KiB | 00m00s [ 4/171] Installing libssh-config-0:0. 100% | 0.0 B/s | 816.0 B | 00m00s [ 5/171] Installing publicsuffix-list- 100% | 0.0 B/s | 69.8 KiB | 00m00s [ 6/171] Installing fedora-release-ide 100% | 0.0 B/s | 916.0 B | 00m00s [ 7/171] Installing fedora-gpg-keys-0: 100% | 43.7 MiB/s | 179.0 KiB | 00m00s [ 8/171] Installing fedora-repos-0:43- 100% | 0.0 B/s | 5.7 KiB | 00m00s [ 9/171] Installing fedora-release-com 100% | 24.2 MiB/s | 24.7 KiB | 00m00s [ 10/171] Installing fedora-release-0:4 100% | 17.3 KiB/s | 124.0 B | 00m00s >>> Running sysusers scriptlet: setup-0:2.15.0-26.fc43.noarch >>> Finished sysusers scriptlet: setup-0:2.15.0-26.fc43.noarch >>> Scriptlet output: >>> Creating group 'adm' with GID 4. >>> Creating group 'audio' with GID 63. >>> Creating group 'cdrom' with GID 11. >>> Creating group 'clock' with GID 103. >>> Creating group 'dialout' with GID 18. >>> Creating group 'disk' with GID 6. >>> Creating group 'floppy' with GID 19. >>> Creating group 'ftp' with GID 50. >>> Creating group 'games' with GID 20. >>> Creating group 'input' with GID 104. >>> Creating group 'kmem' with GID 9. >>> Creating group 'kvm' with GID 36. >>> Creating group 'lock' with GID 54. >>> Creating group 'lp' with GID 7. >>> Creating group 'mail' with GID 12. >>> Creating group 'man' with GID 15. >>> Creating group 'mem' with GID 8. >>> Creating group 'nobody' with GID 65534. >>> Creating group 'render' with GID 105. >>> Creating group 'root' with GID 0. >>> Creating group 'sgx' with GID 106. >>> Creating group 'sys' with GID 3. >>> Creating group 'tape' with GID 33. >>> Creating group 'tty' with GID 5. >>> Creating group 'users' with GID 100. >>> Creating group 'utmp' with GID 22. >>> Creating group 'video' with GID 39. >>> Creating group 'wheel' with GID 10. >>> Creating user 'adm' (adm) with UID 3 and GID 4. >>> Creating group 'bin' with GID 1. >>> Creating user 'bin' (bin) with UID 1 and GID 1. >>> Creating group 'daemon' with GID 2. >>> Creating user 'daemon' (daemon) with UID 2 and GID 2. >>> Creating user 'ftp' (FTP User) with UID 14 and GID 50. >>> Creating user 'games' (games) with UID 12 and GID 100. >>> Creating user 'halt' (halt) with UID 7 and GID 0. >>> Creating user 'lp' (lp) with UID 4 and GID 7. >>> Creating user 'mail' (mail) with UID 8 and GID 12. >>> Creating user 'nobody' (Kernel Overflow User) with UID 65534 and GID 65534. >>> Creating user 'operator' (operator) with UID 11 and GID 0. >>> Creating user 'root' (Super User) with UID 0 and GID 0. >>> Creating user 'shutdown' (shutdown) with UID 6 and GID 0. >>> Creating user 'sync' (sync) with UID 5 and GID 0. >>> [ 11/171] Installing setup-0:2.15.0-26. 100% | 47.6 MiB/s | 730.6 KiB | 00m00s [ 12/171] Installing filesystem-0:3.18- 100% | 2.7 MiB/s | 212.8 KiB | 00m00s [ 13/171] Installing pkgconf-m4-0:2.3.0 100% | 0.0 B/s | 14.8 KiB | 00m00s [ 14/171] Installing pcre2-syntax-0:10. 100% | 269.9 MiB/s | 276.4 KiB | 00m00s [ 15/171] Installing ncurses-base-0:6.5 100% | 86.3 MiB/s | 353.5 KiB | 00m00s [ 16/171] Installing bash-0:5.3.0-2.fc4 100% | 255.5 MiB/s | 8.4 MiB | 00m00s [ 17/171] Installing glibc-common-0:2.4 100% | 60.0 MiB/s | 1.0 MiB | 00m00s [ 18/171] Installing glibc-gconv-extra- 100% | 281.1 MiB/s | 7.3 MiB | 00m00s [ 19/171] Installing glibc-0:2.42-4.fc4 100% | 176.4 MiB/s | 6.7 MiB | 00m00s [ 20/171] Installing ncurses-libs-0:6.5 100% | 232.6 MiB/s | 952.8 KiB | 00m00s [ 21/171] Installing glibc-minimal-lang 100% | 0.0 B/s | 124.0 B | 00m00s [ 22/171] Installing zlib-ng-compat-0:2 100% | 135.2 MiB/s | 138.4 KiB | 00m00s [ 23/171] Installing bzip2-libs-0:1.0.8 100% | 79.8 MiB/s | 81.7 KiB | 00m00s [ 24/171] Installing libgpg-error-0:1.5 100% | 56.2 MiB/s | 921.1 KiB | 00m00s [ 25/171] Installing libstdc++-0:15.2.1 100% | 355.5 MiB/s | 2.8 MiB | 00m00s [ 26/171] Installing xz-libs-1:5.8.1-2. 100% | 213.8 MiB/s | 218.9 KiB | 00m00s [ 27/171] Installing libassuan-0:2.5.7- 100% | 161.7 MiB/s | 165.6 KiB | 00m00s [ 28/171] Installing libgcrypt-0:1.11.1 100% | 393.8 MiB/s | 1.6 MiB | 00m00s [ 29/171] Installing readline-0:8.3-2.f 100% | 250.9 MiB/s | 513.9 KiB | 00m00s [ 30/171] Installing gmp-1:6.3.0-4.fc43 100% | 397.2 MiB/s | 813.5 KiB | 00m00s [ 31/171] Installing libuuid-0:2.41.1-1 100% | 0.0 B/s | 38.3 KiB | 00m00s [ 32/171] Installing popt-0:1.19-9.fc43 100% | 68.1 MiB/s | 139.4 KiB | 00m00s [ 33/171] Installing npth-0:1.8-3.fc43. 100% | 0.0 B/s | 50.7 KiB | 00m00s [ 34/171] Installing libblkid-0:2.41.1- 100% | 257.4 MiB/s | 263.5 KiB | 00m00s [ 35/171] Installing libxcrypt-0:4.4.38 100% | 280.4 MiB/s | 287.2 KiB | 00m00s [ 36/171] Installing libzstd-0:1.5.7-2. 100% | 391.2 MiB/s | 801.1 KiB | 00m00s [ 37/171] Installing elfutils-libelf-0: 100% | 388.8 MiB/s | 1.2 MiB | 00m00s [ 38/171] Installing sqlite-libs-0:3.50 100% | 379.1 MiB/s | 1.5 MiB | 00m00s [ 39/171] Installing gnupg2-gpgconf-0:2 100% | 18.9 MiB/s | 252.0 KiB | 00m00s [ 40/171] Installing libattr-0:2.5.2-6. 100% | 0.0 B/s | 25.4 KiB | 00m00s [ 41/171] Installing libacl-0:2.3.2-4.f 100% | 0.0 B/s | 36.8 KiB | 00m00s [ 42/171] Installing libtasn1-0:4.20.0- 100% | 173.9 MiB/s | 178.1 KiB | 00m00s [ 43/171] Installing libunistring-0:1.1 100% | 345.3 MiB/s | 1.7 MiB | 00m00s [ 44/171] Installing libidn2-0:2.3.8-2. 100% | 60.6 MiB/s | 558.7 KiB | 00m00s [ 45/171] Installing crypto-policies-0: 100% | 42.0 MiB/s | 172.0 KiB | 00m00s [ 46/171] Installing dwz-0:0.16-2.fc43. 100% | 20.1 MiB/s | 288.5 KiB | 00m00s [ 47/171] Installing gnupg2-verify-0:2. 100% | 26.3 MiB/s | 349.9 KiB | 00m00s [ 48/171] Installing mpfr-0:4.2.2-2.fc4 100% | 271.6 MiB/s | 834.4 KiB | 00m00s [ 49/171] Installing gawk-0:5.3.2-2.fc4 100% | 100.9 MiB/s | 1.8 MiB | 00m00s [ 50/171] Installing libksba-0:1.6.7-4. 100% | 195.8 MiB/s | 401.1 KiB | 00m00s [ 51/171] Installing unzip-0:6.0-67.fc4 100% | 29.3 MiB/s | 389.8 KiB | 00m00s [ 52/171] Installing file-libs-0:5.46-7 100% | 658.7 MiB/s | 11.9 MiB | 00m00s [ 53/171] Installing file-0:5.46-7.fc43 100% | 7.6 MiB/s | 101.7 KiB | 00m00s [ 54/171] Installing pcre2-0:10.45-1.fc 100% | 341.4 MiB/s | 699.1 KiB | 00m00s [ 55/171] Installing grep-0:3.12-2.fc43 100% | 62.7 MiB/s | 1.0 MiB | 00m00s [ 56/171] Installing xz-1:5.8.1-2.fc43. 100% | 78.3 MiB/s | 1.3 MiB | 00m00s [ 57/171] Installing libeconf-0:0.7.9-2 100% | 65.0 MiB/s | 66.5 KiB | 00m00s [ 58/171] Installing libcap-ng-0:0.8.5- 100% | 69.2 MiB/s | 70.8 KiB | 00m00s [ 59/171] Installing audit-libs-0:4.1.1 100% | 186.3 MiB/s | 381.5 KiB | 00m00s [ 60/171] Installing pam-libs-0:1.7.1-3 100% | 126.0 MiB/s | 129.0 KiB | 00m00s [ 61/171] Installing libcap-0:2.76-3.fc 100% | 16.1 MiB/s | 214.3 KiB | 00m00s [ 62/171] Installing systemd-libs-0:258 100% | 333.8 MiB/s | 2.3 MiB | 00m00s [ 63/171] Installing libsmartcols-0:2.4 100% | 177.3 MiB/s | 181.6 KiB | 00m00s [ 64/171] Installing libsepol-0:3.9-2.f 100% | 401.8 MiB/s | 822.9 KiB | 00m00s [ 65/171] Installing libselinux-0:3.9-4 100% | 189.8 MiB/s | 194.4 KiB | 00m00s [ 66/171] Installing findutils-1:4.10.0 100% | 103.2 MiB/s | 1.9 MiB | 00m00s [ 67/171] Installing sed-0:4.9-5.fc43.x 100% | 56.3 MiB/s | 865.5 KiB | 00m00s [ 68/171] Installing libmount-0:2.41.1- 100% | 182.5 MiB/s | 373.7 KiB | 00m00s [ 69/171] Installing lz4-libs-0:1.10.0- 100% | 158.6 MiB/s | 162.5 KiB | 00m00s [ 70/171] Installing lua-libs-0:5.4.8-2 100% | 275.3 MiB/s | 281.9 KiB | 00m00s [ 71/171] Installing json-c-0:0.18-7.fc 100% | 82.0 MiB/s | 84.0 KiB | 00m00s [ 72/171] Installing libffi-0:3.5.1-2.f 100% | 83.0 MiB/s | 85.0 KiB | 00m00s [ 73/171] Installing p11-kit-0:0.25.5-1 100% | 109.3 MiB/s | 2.2 MiB | 00m00s [ 74/171] Installing alternatives-0:1.3 100% | 5.2 MiB/s | 63.8 KiB | 00m00s [ 75/171] Installing p11-kit-trust-0:0. 100% | 19.4 MiB/s | 396.9 KiB | 00m00s [ 76/171] Installing zstd-0:1.5.7-2.fc4 100% | 100.6 MiB/s | 1.7 MiB | 00m00s [ 77/171] Installing util-linux-core-0: 100% | 82.2 MiB/s | 1.5 MiB | 00m00s [ 78/171] Installing tar-2:1.35-6.fc43. 100% | 147.9 MiB/s | 3.0 MiB | 00m00s [ 79/171] Installing libsemanage-0:3.9- 100% | 303.0 MiB/s | 310.3 KiB | 00m00s [ 80/171] Installing systemd-standalone 100% | 22.1 MiB/s | 294.2 KiB | 00m00s [ 81/171] Installing libusb1-0:1.0.29-4 100% | 168.9 MiB/s | 172.9 KiB | 00m00s [ 82/171] Installing zip-0:3.0-44.fc43. 100% | 48.7 MiB/s | 698.4 KiB | 00m00s [ 83/171] Installing gnupg2-keyboxd-0:2 100% | 33.0 MiB/s | 202.7 KiB | 00m00s [ 84/171] Installing libpsl-0:0.21.5-6. 100% | 75.7 MiB/s | 77.5 KiB | 00m00s [ 85/171] Installing liblastlog2-0:2.41 100% | 7.0 MiB/s | 36.0 KiB | 00m00s [ 86/171] Installing libfdisk-0:2.41.1- 100% | 186.3 MiB/s | 381.5 KiB | 00m00s [ 87/171] Installing nettle-0:3.10.1-2. 100% | 258.4 MiB/s | 793.7 KiB | 00m00s [ 88/171] Installing gnutls-0:3.8.10-3. 100% | 349.0 MiB/s | 3.8 MiB | 00m00s [ 89/171] Installing libxml2-0:2.12.10- 100% | 94.7 MiB/s | 1.7 MiB | 00m00s [ 90/171] Installing bzip2-0:1.0.8-21.f 100% | 7.5 MiB/s | 99.8 KiB | 00m00s [ 91/171] Installing add-determinism-0: 100% | 128.6 MiB/s | 2.4 MiB | 00m00s [ 92/171] Installing build-reproducibil 100% | 0.0 B/s | 1.0 KiB | 00m00s [ 93/171] Installing cpio-0:2.15-6.fc43 100% | 68.7 MiB/s | 1.1 MiB | 00m00s [ 94/171] Installing diffutils-0:3.12-3 100% | 91.8 MiB/s | 1.6 MiB | 00m00s [ 95/171] Installing ed-0:1.22.2-1.fc43 100% | 11.3 MiB/s | 150.4 KiB | 00m00s [ 96/171] Installing patch-0:2.8-2.fc43 100% | 16.9 MiB/s | 224.3 KiB | 00m00s [ 97/171] Installing libgomp-0:15.2.1-1 100% | 264.8 MiB/s | 542.4 KiB | 00m00s [ 98/171] Installing libtool-ltdl-0:2.5 100% | 69.6 MiB/s | 71.2 KiB | 00m00s [ 99/171] Installing gdbm-libs-1:1.23-1 100% | 128.5 MiB/s | 131.6 KiB | 00m00s [100/171] Installing cyrus-sasl-lib-0:2 100% | 127.6 MiB/s | 2.3 MiB | 00m00s [101/171] Installing jansson-0:2.14-3.f 100% | 88.3 MiB/s | 90.5 KiB | 00m00s [102/171] Installing libpkgconf-0:2.3.0 100% | 77.4 MiB/s | 79.2 KiB | 00m00s [103/171] Installing pkgconf-0:2.3.0-3. 100% | 6.8 MiB/s | 91.0 KiB | 00m00s [104/171] Installing pkgconf-pkg-config 100% | 147.8 KiB/s | 1.8 KiB | 00m00s [105/171] Installing xxhash-libs-0:0.8. 100% | 89.4 MiB/s | 91.6 KiB | 00m00s [106/171] Installing libbrotli-0:1.1.0- 100% | 272.0 MiB/s | 835.6 KiB | 00m00s [107/171] Installing libnghttp2-0:1.66. 100% | 159.5 MiB/s | 163.3 KiB | 00m00s [108/171] Installing keyutils-libs-0:1. 100% | 54.4 MiB/s | 55.7 KiB | 00m00s [109/171] Installing libcom_err-0:1.47. 100% | 0.0 B/s | 64.2 KiB | 00m00s [110/171] Installing libverto-0:0.3.2-1 100% | 26.6 MiB/s | 27.2 KiB | 00m00s [111/171] Installing filesystem-srpm-ma 100% | 0.0 B/s | 38.9 KiB | 00m00s [112/171] Installing elfutils-default-y 100% | 408.6 KiB/s | 2.0 KiB | 00m00s [113/171] Installing elfutils-libs-0:0. 100% | 223.1 MiB/s | 685.2 KiB | 00m00s [114/171] Installing rust-srpm-macros-0 100% | 0.0 B/s | 5.6 KiB | 00m00s [115/171] Installing qt6-srpm-macros-0: 100% | 0.0 B/s | 740.0 B | 00m00s [116/171] Installing qt5-srpm-macros-0: 100% | 0.0 B/s | 776.0 B | 00m00s [117/171] Installing perl-srpm-macros-0 100% | 0.0 B/s | 1.1 KiB | 00m00s [118/171] Installing package-notes-srpm 100% | 0.0 B/s | 2.0 KiB | 00m00s [119/171] Installing openblas-srpm-macr 100% | 0.0 B/s | 392.0 B | 00m00s [120/171] Installing ocaml-srpm-macros- 100% | 0.0 B/s | 2.1 KiB | 00m00s [121/171] Installing kernel-srpm-macros 100% | 0.0 B/s | 2.3 KiB | 00m00s [122/171] Installing gnat-srpm-macros-0 100% | 0.0 B/s | 1.3 KiB | 00m00s [123/171] Installing ghc-srpm-macros-0: 100% | 0.0 B/s | 1.0 KiB | 00m00s [124/171] Installing gap-srpm-macros-0: 100% | 0.0 B/s | 2.6 KiB | 00m00s [125/171] Installing fpc-srpm-macros-0: 100% | 0.0 B/s | 420.0 B | 00m00s [126/171] Installing ansible-srpm-macro 100% | 35.4 MiB/s | 36.2 KiB | 00m00s [127/171] Installing coreutils-common-0 100% | 376.4 MiB/s | 11.3 MiB | 00m00s [128/171] Installing openssl-libs-1:3.5 100% | 387.1 MiB/s | 8.9 MiB | 00m00s [129/171] Installing coreutils-0:9.7-5. 100% | 155.6 MiB/s | 5.4 MiB | 00m00s [130/171] Installing ca-certificates-0: 100% | 1.9 MiB/s | 2.5 MiB | 00m01s [131/171] Installing libarchive-0:3.8.1 100% | 232.7 MiB/s | 953.1 KiB | 00m00s [132/171] Installing krb5-libs-0:1.21.3 100% | 163.7 MiB/s | 2.3 MiB | 00m00s >>> Running sysusers scriptlet: tpm2-tss-0:4.1.3-8.fc43.x86_64 >>> Finished sysusers scriptlet: tpm2-tss-0:4.1.3-8.fc43.x86_64 >>> Scriptlet output: >>> Creating group 'tss' with GID 59. >>> Creating user 'tss' (Account used for TPM access) with UID 59 and GID 59. >>> [133/171] Installing tpm2-tss-0:4.1.3-8 100% | 262.0 MiB/s | 1.6 MiB | 00m00s [134/171] Installing ima-evm-utils-libs 100% | 60.5 MiB/s | 62.0 KiB | 00m00s [135/171] Installing gnupg2-gpg-agent-0 100% | 30.0 MiB/s | 675.4 KiB | 00m00s [136/171] Installing libssh-0:0.11.2-2. 100% | 277.7 MiB/s | 568.7 KiB | 00m00s [137/171] Installing gzip-0:1.13-4.fc43 100% | 27.5 MiB/s | 394.4 KiB | 00m00s [138/171] Installing rpm-sequoia-0:1.9. 100% | 354.1 MiB/s | 2.5 MiB | 00m00s [139/171] Installing rpm-libs-0:5.99.91 100% | 304.4 MiB/s | 935.3 KiB | 00m00s [140/171] Installing libfsverity-0:1.6- 100% | 0.0 B/s | 29.5 KiB | 00m00s [141/171] Installing libevent-0:2.1.12- 100% | 288.7 MiB/s | 886.8 KiB | 00m00s [142/171] Installing openldap-0:2.6.10- 100% | 216.0 MiB/s | 663.7 KiB | 00m00s [143/171] Installing libcurl-0:8.15.0-2 100% | 294.4 MiB/s | 904.3 KiB | 00m00s [144/171] Installing elfutils-debuginfo 100% | 6.5 MiB/s | 86.2 KiB | 00m00s [145/171] Installing elfutils-0:0.193-3 100% | 145.9 MiB/s | 2.9 MiB | 00m00s [146/171] Installing binutils-0:2.45-1. 100% | 319.8 MiB/s | 26.5 MiB | 00m00s [147/171] Installing gdb-minimal-0:16.3 100% | 270.5 MiB/s | 13.3 MiB | 00m00s [148/171] Installing debugedit-0:5.2-3. 100% | 15.2 MiB/s | 217.3 KiB | 00m00s [149/171] Installing curl-0:8.15.0-2.fc 100% | 20.2 MiB/s | 476.3 KiB | 00m00s [150/171] Installing rpm-0:5.99.91-5.fc 100% | 73.3 MiB/s | 2.5 MiB | 00m00s [151/171] Installing efi-srpm-macros-0: 100% | 40.2 MiB/s | 41.1 KiB | 00m00s [152/171] Installing java-srpm-macros-0 100% | 0.0 B/s | 1.1 KiB | 00m00s [153/171] Installing lua-srpm-macros-0: 100% | 0.0 B/s | 1.9 KiB | 00m00s [154/171] Installing tree-sitter-srpm-m 100% | 0.0 B/s | 9.3 KiB | 00m00s [155/171] Installing zig-srpm-macros-0: 100% | 0.0 B/s | 1.7 KiB | 00m00s [156/171] Installing gnupg2-dirmngr-0:2 100% | 28.9 MiB/s | 621.1 KiB | 00m00s [157/171] Installing gnupg2-0:2.4.8-4.f 100% | 211.3 MiB/s | 6.6 MiB | 00m00s [158/171] Installing rpm-sign-libs-0:5. 100% | 39.6 MiB/s | 40.6 KiB | 00m00s [159/171] Installing rpm-build-libs-0:5 100% | 262.9 MiB/s | 269.2 KiB | 00m00s [160/171] Installing gpgverify-0:2.2-3. 100% | 0.0 B/s | 9.4 KiB | 00m00s [161/171] Installing rpm-build-0:5.99.9 100% | 20.5 MiB/s | 294.4 KiB | 00m00s [162/171] Installing pyproject-srpm-mac 100% | 2.4 MiB/s | 2.5 KiB | 00m00s [163/171] Installing redhat-rpm-config- 100% | 92.3 MiB/s | 189.1 KiB | 00m00s [164/171] Installing forge-srpm-macros- 100% | 0.0 B/s | 40.3 KiB | 00m00s [165/171] Installing fonts-srpm-macros- 100% | 0.0 B/s | 57.0 KiB | 00m00s [166/171] Installing go-srpm-macros-0:3 100% | 61.3 MiB/s | 62.7 KiB | 00m00s [167/171] Installing python-srpm-macros 100% | 0.0 B/s | 52.8 KiB | 00m00s [168/171] Installing which-0:2.23-3.fc4 100% | 6.0 MiB/s | 85.7 KiB | 00m00s [169/171] Installing util-linux-0:2.41. 100% | 96.5 MiB/s | 3.6 MiB | 00m00s [170/171] Installing shadow-utils-2:4.1 100% | 128.0 MiB/s | 4.0 MiB | 00m00s [171/171] Installing info-0:7.2-6.fc43. 100% | 203.6 KiB/s | 354.3 KiB | 00m02s Complete! Finish: installing minimal buildroot with dnf5 Start: creating root cache Finish: creating root cache Finish: chroot init INFO: Installed packages: INFO: add-determinism-0.6.0-2.fc43.x86_64 alternatives-1.33-2.fc43.x86_64 ansible-srpm-macros-1-18.1.fc43.noarch audit-libs-4.1.1-2.fc43.x86_64 bash-5.3.0-2.fc43.x86_64 binutils-2.45-1.fc43.x86_64 build-reproducibility-srpm-macros-0.6.0-2.fc43.noarch bzip2-1.0.8-21.fc43.x86_64 bzip2-libs-1.0.8-21.fc43.x86_64 ca-certificates-2025.2.80_v9.0.304-1.1.fc43.noarch coreutils-9.7-5.fc43.x86_64 coreutils-common-9.7-5.fc43.x86_64 cpio-2.15-6.fc43.x86_64 crypto-policies-20250714-4.gitcd6043a.fc43.noarch curl-8.15.0-2.fc43.x86_64 cyrus-sasl-lib-2.1.28-33.fc43.x86_64 debugedit-5.2-3.fc43.x86_64 diffutils-3.12-3.fc43.x86_64 dwz-0.16-2.fc43.x86_64 ed-1.22.2-1.fc43.x86_64 efi-srpm-macros-6-4.fc43.noarch elfutils-0.193-3.fc43.x86_64 elfutils-debuginfod-client-0.193-3.fc43.x86_64 elfutils-default-yama-scope-0.193-3.fc43.noarch elfutils-libelf-0.193-3.fc43.x86_64 elfutils-libs-0.193-3.fc43.x86_64 fedora-gpg-keys-43-0.4.noarch fedora-release-43-0.22.noarch fedora-release-common-43-0.22.noarch fedora-release-identity-basic-43-0.22.noarch fedora-repos-43-0.4.noarch file-5.46-7.fc43.x86_64 file-libs-5.46-7.fc43.x86_64 filesystem-3.18-50.fc43.x86_64 filesystem-srpm-macros-3.18-50.fc43.noarch findutils-4.10.0-6.fc43.x86_64 fonts-srpm-macros-2.0.5-23.fc43.noarch forge-srpm-macros-0.4.0-3.fc43.noarch fpc-srpm-macros-1.3-15.fc43.noarch gap-srpm-macros-1-1.fc43.noarch gawk-5.3.2-2.fc43.x86_64 gdb-minimal-16.3-5.fc43.x86_64 gdbm-libs-1.23-10.fc43.x86_64 ghc-srpm-macros-1.9.2-3.fc43.noarch glibc-2.42-4.fc43.x86_64 glibc-common-2.42-4.fc43.x86_64 glibc-gconv-extra-2.42-4.fc43.x86_64 glibc-minimal-langpack-2.42-4.fc43.x86_64 gmp-6.3.0-4.fc43.x86_64 gnat-srpm-macros-6-8.fc43.noarch gnupg2-2.4.8-4.fc43.x86_64 gnupg2-dirmngr-2.4.8-4.fc43.x86_64 gnupg2-gpg-agent-2.4.8-4.fc43.x86_64 gnupg2-gpgconf-2.4.8-4.fc43.x86_64 gnupg2-keyboxd-2.4.8-4.fc43.x86_64 gnupg2-verify-2.4.8-4.fc43.x86_64 gnutls-3.8.10-3.fc43.x86_64 go-srpm-macros-3.7.0-4.fc43.noarch gpg-pubkey-c6e7f081cf80e13146676e88829b606631645531-66b6dccf gpgverify-2.2-3.fc43.noarch grep-3.12-2.fc43.x86_64 gzip-1.13-4.fc43.x86_64 ima-evm-utils-libs-1.6.2-6.fc43.x86_64 info-7.2-6.fc43.x86_64 jansson-2.14-3.fc43.x86_64 java-srpm-macros-1-7.fc43.noarch json-c-0.18-7.fc43.x86_64 kernel-srpm-macros-1.0-27.fc43.noarch keyutils-libs-1.6.3-6.fc43.x86_64 krb5-libs-1.21.3-7.fc43.x86_64 libacl-2.3.2-4.fc43.x86_64 libarchive-3.8.1-3.fc43.x86_64 libassuan-2.5.7-4.fc43.x86_64 libattr-2.5.2-6.fc43.x86_64 libblkid-2.41.1-16.fc43.x86_64 libbrotli-1.1.0-9.fc43.x86_64 libcap-2.76-3.fc43.x86_64 libcap-ng-0.8.5-7.fc43.x86_64 libcom_err-1.47.3-2.fc43.x86_64 libcurl-8.15.0-2.fc43.x86_64 libeconf-0.7.9-2.fc43.x86_64 libevent-2.1.12-16.fc43.x86_64 libfdisk-2.41.1-16.fc43.x86_64 libffi-3.5.1-2.fc43.x86_64 libfsverity-1.6-3.fc43.x86_64 libgcc-15.2.1-1.fc43.1.x86_64 libgcrypt-1.11.1-2.fc43.x86_64 libgomp-15.2.1-1.fc43.1.x86_64 libgpg-error-1.55-2.fc43.x86_64 libidn2-2.3.8-2.fc43.x86_64 libksba-1.6.7-4.fc43.x86_64 liblastlog2-2.41.1-16.fc43.x86_64 libmount-2.41.1-16.fc43.x86_64 libnghttp2-1.66.0-2.fc43.x86_64 libpkgconf-2.3.0-3.fc43.x86_64 libpsl-0.21.5-6.fc43.x86_64 libselinux-3.9-4.fc43.x86_64 libsemanage-3.9-3.fc43.x86_64 libsepol-3.9-2.fc43.x86_64 libsmartcols-2.41.1-16.fc43.x86_64 libssh-0.11.2-2.fc43.x86_64 libssh-config-0.11.2-2.fc43.noarch libstdc++-15.2.1-1.fc43.1.x86_64 libtasn1-4.20.0-2.fc43.x86_64 libtool-ltdl-2.5.4-7.fc43.x86_64 libunistring-1.1-10.fc43.x86_64 libusb1-1.0.29-4.fc43.x86_64 libuuid-2.41.1-16.fc43.x86_64 libverto-0.3.2-11.fc43.x86_64 libxcrypt-4.4.38-8.fc43.x86_64 libxml2-2.12.10-4.fc43.x86_64 libzstd-1.5.7-2.fc43.x86_64 lua-libs-5.4.8-2.fc43.x86_64 lua-srpm-macros-1-16.fc43.noarch lz4-libs-1.10.0-3.fc43.x86_64 mpfr-4.2.2-2.fc43.x86_64 ncurses-base-6.5-7.20250614.fc43.noarch ncurses-libs-6.5-7.20250614.fc43.x86_64 nettle-3.10.1-2.fc43.x86_64 npth-1.8-3.fc43.x86_64 ocaml-srpm-macros-11-2.fc43.noarch openblas-srpm-macros-2-20.fc43.noarch openldap-2.6.10-4.fc43.x86_64 openssl-libs-3.5.1-2.fc43.x86_64 p11-kit-0.25.5-10.fc43.x86_64 p11-kit-trust-0.25.5-10.fc43.x86_64 package-notes-srpm-macros-0.5-14.fc43.noarch pam-libs-1.7.1-3.fc43.x86_64 patch-2.8-2.fc43.x86_64 pcre2-10.45-1.fc43.1.x86_64 pcre2-syntax-10.45-1.fc43.1.noarch perl-srpm-macros-1-60.fc43.noarch pkgconf-2.3.0-3.fc43.x86_64 pkgconf-m4-2.3.0-3.fc43.noarch pkgconf-pkg-config-2.3.0-3.fc43.x86_64 popt-1.19-9.fc43.x86_64 publicsuffix-list-dafsa-20250616-2.fc43.noarch pyproject-srpm-macros-1.18.3-2.fc43.noarch python-srpm-macros-3.14-5.fc43.noarch qt5-srpm-macros-5.15.17-2.fc43.noarch qt6-srpm-macros-6.9.2-1.fc43.noarch readline-8.3-2.fc43.x86_64 redhat-rpm-config-343-11.fc43.noarch rpm-5.99.91-5.fc43.x86_64 rpm-build-5.99.91-5.fc43.x86_64 rpm-build-libs-5.99.91-5.fc43.x86_64 rpm-libs-5.99.91-5.fc43.x86_64 rpm-sequoia-1.9.0-2.fc43.x86_64 rpm-sign-libs-5.99.91-5.fc43.x86_64 rust-srpm-macros-26.4-1.fc43.noarch sed-4.9-5.fc43.x86_64 setup-2.15.0-26.fc43.noarch shadow-utils-4.18.0-3.fc43.x86_64 sqlite-libs-3.50.2-2.fc43.x86_64 systemd-libs-258~rc4-1.fc43.x86_64 systemd-standalone-sysusers-258~rc4-1.fc43.x86_64 tar-1.35-6.fc43.x86_64 tpm2-tss-4.1.3-8.fc43.x86_64 tree-sitter-srpm-macros-0.4.2-1.fc43.noarch unzip-6.0-67.fc43.x86_64 util-linux-2.41.1-16.fc43.x86_64 util-linux-core-2.41.1-16.fc43.x86_64 which-2.23-3.fc43.x86_64 xxhash-libs-0.8.3-3.fc43.x86_64 xz-5.8.1-2.fc43.x86_64 xz-libs-5.8.1-2.fc43.x86_64 zig-srpm-macros-1-5.fc43.noarch zip-3.0-44.fc43.x86_64 zlib-ng-compat-2.2.5-1.fc43.x86_64 zstd-1.5.7-2.fc43.x86_64 Start: buildsrpm Start: rpmbuild -bs Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1706745600 Wrote: /builddir/build/SRPMS/aida-x-1.1.0-1.fc43.src.rpm Finish: rpmbuild -bs INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-43-x86_64-1758072343.269884/root/var/log/dnf5.log INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz /bin/tar: Removing leading `/' from member names Finish: buildsrpm INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-mdx8bpal/aida-x/aidax.spec) Config(child) 0 minutes 19 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot INFO: Start(/var/lib/copr-rpmbuild/results/aida-x-1.1.0-1.fc43.src.rpm) Config(fedora-43-x86_64) Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-43-x86_64-bootstrap-1758072343.269884/root. INFO: reusing tmpfs at /var/lib/mock/fedora-43-x86_64-bootstrap-1758072343.269884/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start(bootstrap): cleaning package manager metadata Finish(bootstrap): cleaning package manager metadata Finish(bootstrap): chroot init Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-43-x86_64-1758072343.269884/root. INFO: calling preinit hooks INFO: enabled root cache Start: unpacking root cache Finish: unpacking root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Buildroot is handled by package management downloaded with a bootstrap image: rpm-5.99.91-5.fc43.x86_64 rpm-sequoia-1.9.0-2.fc43.x86_64 dnf5-5.2.17.0-1.fc43.x86_64 dnf5-plugins-5.2.17.0-1.fc43.x86_64 Finish: chroot init Start: build phase for aida-x-1.1.0-1.fc43.src.rpm Start: build setup for aida-x-1.1.0-1.fc43.src.rpm Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1706745600 Wrote: /builddir/build/SRPMS/aida-x-1.1.0-1.fc43.src.rpm Updating and loading repositories: Additional repo https_download1_rpmfus 100% | 15.6 KiB/s | 3.7 KiB | 00m00s Copr repository 100% | 6.4 KiB/s | 1.5 KiB | 00m00s fedora 100% | 14.0 KiB/s | 4.8 KiB | 00m00s updates 100% | 101.9 KiB/s | 30.2 KiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing: alsa-lib-devel x86_64 1.2.14-4.fc43 fedora 8.9 MiB cmake x86_64 3.31.6-4.fc43 fedora 34.5 MiB dbus-devel x86_64 1:1.16.0-4.fc43 fedora 131.7 KiB fftw-devel x86_64 3.3.10-16.fc43 fedora 284.2 KiB gcc x86_64 15.2.1-1.fc43.1 fedora 111.8 MiB gcc-c++ x86_64 15.2.1-1.fc43.1 fedora 41.3 MiB liblo-devel x86_64 0.32-5.fc43 fedora 1.9 MiB lv2-devel x86_64 1.18.10-3.fc43 fedora 666.7 KiB mesa-libGL-devel x86_64 25.1.4-2.fc43 fedora 80.8 KiB pulseaudio-libs-devel x86_64 17.0-7.fc43 fedora 4.8 MiB sdl2-compat-devel x86_64 2.32.56-2.fc43 fedora 3.2 MiB Installing dependencies: SDL3 x86_64 3.2.20-1.fc43 fedora 2.7 MiB abattis-cantarell-vf-fonts noarch 0.301-15.fc43 fedora 192.7 KiB adwaita-cursor-theme noarch 49~rc-1.fc43 fedora 11.4 MiB adwaita-icon-theme noarch 49~rc-1.fc43 fedora 1.2 MiB adwaita-icon-theme-legacy noarch 46.2-4.fc43 fedora 2.1 MiB alsa-lib x86_64 1.2.14-4.fc43 fedora 1.4 MiB annobin-docs noarch 12.99-1.fc43 fedora 98.9 KiB annobin-plugin-gcc x86_64 12.99-1.fc43 fedora 1.0 MiB at-spi2-atk x86_64 2.57.2-1.fc43 fedora 283.6 KiB at-spi2-core x86_64 2.57.2-1.fc43 fedora 1.5 MiB atk x86_64 2.57.2-1.fc43 fedora 248.6 KiB avahi-glib x86_64 0.9~rc2-6.fc43 fedora 19.6 KiB avahi-libs x86_64 0.9~rc2-6.fc43 fedora 171.6 KiB bubblewrap x86_64 0.11.0-2.fc43 fedora 135.0 KiB cairo x86_64 1.18.4-2.fc43 fedora 1.8 MiB cairo-gobject x86_64 1.18.4-2.fc43 fedora 31.1 KiB cmake-data noarch 3.31.6-4.fc43 fedora 8.5 MiB cmake-filesystem x86_64 3.31.6-4.fc43 fedora 0.0 B cmake-rpm-macros noarch 3.31.6-4.fc43 fedora 7.7 KiB colord-libs x86_64 1.4.8-2.fc43 fedora 830.7 KiB cpp x86_64 15.2.1-1.fc43.1 fedora 37.9 MiB cpuinfo x86_64 24.09.26-2.git1e83a2f.fc43.2 fedora 107.0 KiB cups-filesystem noarch 1:2.4.14-1.fc43 fedora 0.0 B cups-libs x86_64 1:2.4.14-1.fc43 fedora 618.7 KiB dbus x86_64 1:1.16.0-4.fc43 fedora 0.0 B dbus-libs x86_64 1:1.16.0-4.fc43 fedora 345.5 KiB default-fonts-core-sans noarch 4.2-5.fc43 fedora 11.9 KiB emacs-filesystem noarch 1:30.0-5.fc43 fedora 0.0 B expat x86_64 2.7.1-3.fc43 fedora 294.2 KiB fftw x86_64 3.3.10-16.fc43 fedora 182.0 KiB fftw-libs x86_64 3.3.10-16.fc43 fedora 0.0 B fftw-libs-double x86_64 3.3.10-16.fc43 fedora 3.4 MiB fftw-libs-long x86_64 3.3.10-16.fc43 fedora 1.5 MiB fftw-libs-quad x86_64 3.3.10-16.fc43 fedora 2.5 MiB fftw-libs-single x86_64 3.3.10-16.fc43 fedora 3.6 MiB flac-libs x86_64 1.5.0-3.fc43 fedora 723.7 KiB fontconfig x86_64 2.17.0-3.fc43 fedora 765.9 KiB fonts-filesystem noarch 1:2.0.5-23.fc43 fedora 0.0 B freetype x86_64 2.13.3-3.fc43 fedora 850.2 KiB fribidi x86_64 1.0.16-3.fc43 fedora 190.3 KiB gcc-plugin-annobin x86_64 15.2.1-1.fc43.1 fedora 57.2 KiB gdk-pixbuf2 x86_64 2.44.0-1.fc43 fedora 2.5 MiB glib2 x86_64 2.85.4-1.fc43 fedora 14.7 MiB glib2-devel x86_64 2.85.4-1.fc43 fedora 15.9 MiB glibc-devel x86_64 2.42-4.fc43 fedora 2.3 MiB glycin-libs x86_64 2.0~rc-3.fc43 fedora 4.4 MiB glycin-loaders x86_64 2.0~rc-3.fc43 fedora 13.2 MiB google-noto-fonts-common noarch 20250801-4.fc43 fedora 17.7 KiB google-noto-sans-vf-fonts noarch 20250801-4.fc43 fedora 1.4 MiB graphite2 x86_64 1.3.14-19.fc43 fedora 191.8 KiB gsm x86_64 1.0.22-9.fc43 fedora 64.8 KiB gtk-update-icon-cache x86_64 3.24.49-5.fc43 fedora 62.2 KiB gtk3 x86_64 3.24.49-5.fc43 fedora 23.1 MiB harfbuzz x86_64 11.4.5-1.fc43 fedora 2.8 MiB hicolor-icon-theme noarch 0.18-2.fc43 fedora 72.4 KiB highway x86_64 1.2.0-5.fc42 fedora 4.4 MiB hwdata noarch 0.398-1.fc43 fedora 9.6 MiB json-glib x86_64 1.10.6-3.fc43 fedora 586.7 KiB jsoncpp x86_64 1.9.6-2.fc43 fedora 257.6 KiB kernel-headers x86_64 6.17.0-0.rc5.42.fc43 fedora 6.7 MiB lame-libs x86_64 3.100-20.fc43 fedora 1.2 MiB lcms2 x86_64 2.16-6.fc43 fedora 433.7 KiB libX11 x86_64 1.8.12-1.fc43 fedora 1.3 MiB libX11-common noarch 1.8.12-1.fc43 fedora 1.2 MiB libX11-devel x86_64 1.8.12-1.fc43 fedora 1.0 MiB libX11-xcb x86_64 1.8.12-1.fc43 fedora 10.9 KiB libXau x86_64 1.0.12-3.fc43 fedora 72.9 KiB libXau-devel x86_64 1.0.12-3.fc43 fedora 7.5 KiB libXcomposite x86_64 0.4.6-6.fc43 fedora 40.5 KiB libXcursor x86_64 1.2.3-3.fc43 fedora 53.4 KiB libXdamage x86_64 1.1.6-6.fc43 fedora 39.6 KiB libXext x86_64 1.3.6-4.fc43 fedora 90.0 KiB libXfixes x86_64 6.0.1-6.fc43 fedora 26.2 KiB libXft x86_64 2.3.8-9.fc43 fedora 164.4 KiB libXi x86_64 1.8.2-3.fc43 fedora 80.6 KiB libXinerama x86_64 1.1.5-9.fc43 fedora 15.0 KiB libXrandr x86_64 1.5.4-6.fc43 fedora 51.8 KiB libXrender x86_64 0.9.12-3.fc43 fedora 46.0 KiB libXtst x86_64 1.2.5-3.fc43 fedora 33.5 KiB libXxf86vm x86_64 1.1.6-3.fc43 fedora 25.3 KiB libaom x86_64 3.12.0-3.fc43 fedora 5.0 MiB libasyncns x86_64 0.8-31.fc43 fedora 55.5 KiB libblkid-devel x86_64 2.41.1-16.fc43 fedora 44.9 KiB libcap-devel x86_64 2.76-3.fc43 fedora 37.5 KiB libcloudproviders x86_64 0.3.6-2.fc43 fedora 124.3 KiB libdatrie x86_64 0.2.13-12.fc43 fedora 53.8 KiB libdav1d x86_64 1.5.1-2.fc43 fedora 1.7 MiB libdecor x86_64 0.2.3-6.fc43 fedora 165.2 KiB libdrm x86_64 2.4.125-2.fc43 fedora 395.8 KiB libdrm-devel x86_64 2.4.125-2.fc43 fedora 728.8 KiB libedit x86_64 3.1-56.20250104cvs.fc43 fedora 240.1 KiB libepoxy x86_64 1.5.10-10.fc43 fedora 1.1 MiB libffi-devel x86_64 3.5.1-2.fc43 fedora 33.9 KiB libglvnd x86_64 1:1.7.0-8.fc43 fedora 526.1 KiB libglvnd-core-devel x86_64 1:1.7.0-8.fc43 fedora 40.3 KiB libglvnd-devel x86_64 1:1.7.0-8.fc43 fedora 2.1 MiB libglvnd-egl x86_64 1:1.7.0-8.fc43 fedora 64.7 KiB libglvnd-gles x86_64 1:1.7.0-8.fc43 fedora 97.9 KiB libglvnd-glx x86_64 1:1.7.0-8.fc43 fedora 601.2 KiB libglvnd-opengl x86_64 1:1.7.0-8.fc43 fedora 144.8 KiB libgusb x86_64 0.4.9-4.fc43 fedora 162.0 KiB libheif x86_64 1.20.2-4.fc43 fedora 1.6 MiB libicu x86_64 77.1-1.fc43 fedora 36.4 MiB libjpeg-turbo x86_64 3.1.1-2.fc43 fedora 799.5 KiB libjxl x86_64 1:0.11.1-4.fc43 fedora 3.1 MiB liblo x86_64 0.32-5.fc43 fedora 180.5 KiB libmount-devel x86_64 2.41.1-16.fc43 fedora 65.5 KiB libmpc x86_64 1.3.1-8.fc43 fedora 160.6 KiB libogg x86_64 2:1.3.6-1.fc43 fedora 45.6 KiB libopenjph x86_64 0.22.0-2.fc43 fedora 466.2 KiB libpciaccess x86_64 0.16-16.fc43 fedora 44.5 KiB libpciaccess-devel x86_64 0.16-16.fc43 fedora 15.3 KiB libpng x86_64 2:1.6.50-2.fc43 fedora 237.7 KiB libquadmath x86_64 15.2.1-1.fc43.1 fedora 317.9 KiB librsvg2 x86_64 2.61.0-2.fc43 fedora 5.0 MiB libseccomp x86_64 2.6.0-2.fc43 fedora 224.9 KiB libselinux-devel x86_64 3.9-4.fc43 fedora 127.3 KiB libsepol-devel x86_64 3.9-2.fc43 fedora 121.4 KiB libsndfile x86_64 1.2.2-10.fc43 fedora 550.1 KiB libsoup3 x86_64 3.6.5-4.fc43 fedora 1.1 MiB libstdc++-devel x86_64 15.2.1-1.fc43.1 fedora 37.3 MiB libstemmer x86_64 3.0.1-7.fc43 fedora 661.5 KiB libthai x86_64 0.1.29-11.fc43 fedora 783.4 KiB libtinysparql x86_64 3.10~rc.1-1.fc43 fedora 1.3 MiB libuv x86_64 1:1.51.0-2.fc43 fedora 570.2 KiB libvmaf x86_64 3.0.0-4.fc43 fedora 827.0 KiB libvorbis x86_64 1:1.3.7-13.fc43 fedora 833.4 KiB libwayland-client x86_64 1.24.0-1.fc43 fedora 62.0 KiB libwayland-cursor x86_64 1.24.0-1.fc43 fedora 37.3 KiB libwayland-egl x86_64 1.24.0-1.fc43 fedora 12.4 KiB libwayland-server x86_64 1.24.0-1.fc43 fedora 78.5 KiB libwebp x86_64 1.6.0-2.fc43 fedora 956.6 KiB libxcb x86_64 1.17.0-6.fc43 fedora 1.1 MiB libxcb-devel x86_64 1.17.0-6.fc43 fedora 2.7 MiB libxcrypt-devel x86_64 4.4.38-8.fc43 fedora 30.8 KiB libxkbcommon x86_64 1.11.0-1.fc43 fedora 408.2 KiB libxshmfence x86_64 1.3.2-7.fc43 fedora 12.4 KiB llvm20-filesystem x86_64 20.1.8-2.fc43 fedora 0.0 B llvm20-libs x86_64 20.1.8-2.fc43 fedora 139.7 MiB lm_sensors-libs x86_64 3.6.0-23.fc43 fedora 85.8 KiB lv2 x86_64 1.18.10-3.fc43 fedora 334.8 KiB lzo x86_64 2.10-15.fc43 fedora 178.9 KiB make x86_64 1:4.4.1-11.fc43 fedora 1.8 MiB mesa-dri-drivers x86_64 25.1.4-2.fc43 fedora 46.6 MiB mesa-filesystem x86_64 25.1.4-2.fc43 fedora 3.6 KiB mesa-libEGL x86_64 25.1.4-2.fc43 fedora 335.0 KiB mesa-libGL x86_64 25.1.4-2.fc43 fedora 306.2 KiB mesa-libGLU x86_64 9.0.3-7.fc43 fedora 361.8 KiB mesa-libGLU-devel x86_64 9.0.3-7.fc43 fedora 17.0 KiB mesa-libgbm x86_64 25.1.4-2.fc43 fedora 19.7 KiB mpdecimal x86_64 4.0.1-2.fc43 fedora 217.2 KiB mpg123-libs x86_64 1.32.10-2.fc43 fedora 814.0 KiB noopenh264 x86_64 2.6.0-2.fc43 fedora 39.2 KiB openjpeg x86_64 2.5.3-8.fc43 fedora 455.7 KiB opus x86_64 1.5.2-3.fc43 fedora 427.6 KiB pango x86_64 1.57.0-1.fc43 fedora 1.0 MiB pcre2-devel x86_64 10.45-1.fc43.1 fedora 2.1 MiB pcre2-utf16 x86_64 10.45-1.fc43.1 fedora 626.3 KiB pcre2-utf32 x86_64 10.45-1.fc43.1 fedora 598.2 KiB pixman x86_64 0.46.2-2.fc43 fedora 710.3 KiB pulseaudio-libs x86_64 17.0-7.fc43 fedora 3.4 MiB pulseaudio-libs-glib2 x86_64 17.0-7.fc43 fedora 19.7 KiB python-pip-wheel noarch 25.1.1-16.fc43 fedora 1.2 MiB python3 x86_64 3.14.0~rc2-1.fc43 fedora 28.9 KiB python3-libs x86_64 3.14.0~rc2-1.fc43 fedora 42.9 MiB python3-markdown noarch 3.8.2-4.fc43 fedora 747.4 KiB python3-packaging noarch 25.0-5.fc43 fedora 607.4 KiB python3-pyparsing noarch 3.1.2-13.fc43 fedora 1.0 MiB python3-rdflib noarch 7.1.4-5.fc43 fedora 4.7 MiB rav1e-libs x86_64 0.7.1-8.fc43 fedora 3.0 MiB rhash x86_64 1.4.5-3.fc43 fedora 351.1 KiB sdl2-compat x86_64 2.32.56-2.fc43 fedora 399.6 KiB shared-mime-info x86_64 2.4-2.fc43 fedora 5.2 MiB spirv-tools-libs x86_64 2025.3-4.fc43 fedora 5.6 MiB svt-av1-libs x86_64 2.3.0-2.fc43 fedora 5.6 MiB sysprof-capture-devel x86_64 49~rc-1.fc43 fedora 803.7 KiB systemd-devel x86_64 258~rc4-1.fc43 fedora 616.4 KiB systemd-rpm-macros noarch 258~rc4-1.fc43 fedora 8.5 KiB tzdata noarch 2025b-3.fc43 fedora 1.6 MiB vim-filesystem noarch 2:9.1.1723-2.fc43 fedora 40.0 B xkeyboard-config noarch 2.45-1.fc43 fedora 10.2 MiB xml-common noarch 0.6.3-67.fc43 fedora 78.4 KiB xorg-x11-proto-devel noarch 2024.1-5.fc43 fedora 1.7 MiB xprop x86_64 1.2.8-4.fc43 fedora 54.7 KiB zlib-ng-compat-devel x86_64 2.2.5-1.fc43 fedora 107.0 KiB Transaction Summary: Installing: 196 packages Total size of inbound packages is 224 MiB. Need to download 224 MiB. After this operation, 800 MiB extra will be used (install 800 MiB, remove 0 B). [ 1/196] sdl2-compat-devel-0:2.32.56-2 100% | 32.9 MiB/s | 505.7 KiB | 00m00s [ 2/196] alsa-lib-devel-0:1.2.14-4.fc4 100% | 34.4 MiB/s | 774.0 KiB | 00m00s [ 3/196] dbus-devel-1:1.16.0-4.fc43.x8 100% | 3.4 MiB/s | 38.8 KiB | 00m00s [ 4/196] fftw-devel-0:3.3.10-16.fc43.x 100% | 5.5 MiB/s | 134.0 KiB | 00m00s [ 5/196] gcc-0:15.2.1-1.fc43.1.x86_64 100% | 265.6 MiB/s | 39.6 MiB | 00m00s [ 6/196] gcc-c++-0:15.2.1-1.fc43.1.x86 100% | 126.2 MiB/s | 15.3 MiB | 00m00s [ 7/196] cmake-0:3.31.6-4.fc43.x86_64 100% | 69.5 MiB/s | 12.2 MiB | 00m00s [ 8/196] liblo-devel-0:0.32-5.fc43.x86 100% | 5.7 MiB/s | 252.4 KiB | 00m00s [ 9/196] lv2-devel-0:1.18.10-3.fc43.x8 100% | 8.8 MiB/s | 126.7 KiB | 00m00s [ 10/196] mesa-libGL-devel-0:25.1.4-2.f 100% | 18.9 MiB/s | 38.8 KiB | 00m00s [ 11/196] libmpc-0:1.3.1-8.fc43.x86_64 100% | 13.7 MiB/s | 70.4 KiB | 00m00s [ 12/196] pulseaudio-libs-devel-0:17.0- 100% | 44.3 MiB/s | 453.6 KiB | 00m00s [ 13/196] cmake-filesystem-0:3.31.6-4.f 100% | 2.5 MiB/s | 15.5 KiB | 00m00s [ 14/196] make-1:4.4.1-11.fc43.x86_64 100% | 40.8 MiB/s | 585.2 KiB | 00m00s [ 15/196] sdl2-compat-0:2.32.56-2.fc43. 100% | 12.0 MiB/s | 135.0 KiB | 00m00s [ 16/196] xorg-x11-proto-devel-0:2024.1 100% | 41.9 MiB/s | 300.0 KiB | 00m00s [ 17/196] alsa-lib-0:1.2.14-4.fc43.x86_ 100% | 57.7 MiB/s | 531.3 KiB | 00m00s [ 18/196] cpp-0:15.2.1-1.fc43.1.x86_64 100% | 258.6 MiB/s | 12.9 MiB | 00m00s [ 19/196] cmake-data-0:3.31.6-4.fc43.no 100% | 91.4 MiB/s | 2.5 MiB | 00m00s [ 20/196] expat-0:2.7.1-3.fc43.x86_64 100% | 6.3 MiB/s | 116.1 KiB | 00m00s [ 21/196] jsoncpp-0:1.9.6-2.fc43.x86_64 100% | 19.7 MiB/s | 101.1 KiB | 00m00s [ 22/196] dbus-libs-1:1.16.0-4.fc43.x86 100% | 72.4 MiB/s | 148.3 KiB | 00m00s [ 23/196] rhash-0:1.4.5-3.fc43.x86_64 100% | 48.3 MiB/s | 197.9 KiB | 00m00s [ 24/196] libuv-1:1.51.0-2.fc43.x86_64 100% | 52.0 MiB/s | 266.1 KiB | 00m00s [ 25/196] xml-common-0:0.6.3-67.fc43.no 100% | 10.1 MiB/s | 31.0 KiB | 00m00s [ 26/196] fftw-0:3.3.10-16.fc43.x86_64 100% | 14.8 MiB/s 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120.8 MiB/s | 1.2 MiB | 00m00s [ 40/196] SDL3-0:3.2.20-1.fc43.x86_64 100% | 33.5 MiB/s | 1.0 MiB | 00m00s [ 41/196] python3-pyparsing-0:3.1.2-13. 100% | 70.0 MiB/s | 286.8 KiB | 00m00s [ 42/196] libX11-devel-0:1.8.12-1.fc43. 100% | 203.4 MiB/s | 1.0 MiB | 00m00s [ 43/196] libglvnd-1:1.7.0-8.fc43.x86_6 100% | 37.1 MiB/s | 114.0 KiB | 00m00s [ 44/196] libglvnd-core-devel-1:1.7.0-8 100% | 16.9 MiB/s | 17.3 KiB | 00m00s [ 45/196] libglvnd-egl-1:1.7.0-8.fc43.x 100% | 35.2 MiB/s | 36.0 KiB | 00m00s [ 46/196] fftw-libs-quad-0:3.3.10-16.fc 100% | 30.7 MiB/s | 722.9 KiB | 00m00s [ 47/196] libglvnd-gles-1:1.7.0-8.fc43. 100% | 9.3 MiB/s | 28.5 KiB | 00m00s [ 48/196] libglvnd-opengl-1:1.7.0-8.fc4 100% | 12.0 MiB/s | 37.0 KiB | 00m00s [ 49/196] libglvnd-glx-1:1.7.0-8.fc43.x 100% | 25.8 MiB/s | 132.1 KiB | 00m00s [ 50/196] libasyncns-0:0.8-31.fc43.x86_ 100% | 5.9 MiB/s | 30.0 KiB | 00m00s [ 51/196] libsndfile-0:1.2.2-10.fc43.x8 100% | 30.8 MiB/s | 220.8 KiB | 00m00s [ 52/196] libxcb-0:1.17.0-6.fc43.x86_64 100% | 33.2 MiB/s | 237.7 KiB | 00m00s [ 53/196] glib2-0:2.85.4-1.fc43.x86_64 100% | 256.4 MiB/s | 3.1 MiB | 00m00s [ 54/196] libX11-0:1.8.12-1.fc43.x86_64 100% | 71.1 MiB/s | 655.6 KiB | 00m00s [ 55/196] libquadmath-0:15.2.1-1.fc43.1 100% | 19.8 MiB/s | 202.5 KiB | 00m00s [ 56/196] libX11-xcb-0:1.8.12-1.fc43.x8 100% | 3.8 MiB/s | 11.5 KiB | 00m00s [ 57/196] libXext-0:1.3.6-4.fc43.x86_64 100% | 38.1 MiB/s | 39.1 KiB | 00m00s [ 58/196] mesa-libEGL-0:25.1.4-2.fc43.x 100% | 68.4 MiB/s | 140.0 KiB | 00m00s [ 59/196] mesa-libGL-0:25.1.4-2.fc43.x8 100% | 43.7 MiB/s | 134.3 KiB | 00m00s [ 60/196] flac-libs-0:1.5.0-3.fc43.x86_ 100% | 92.7 MiB/s | 284.8 KiB | 00m00s [ 61/196] gsm-0:1.0.22-9.fc43.x86_64 100% | 8.7 MiB/s | 35.6 KiB | 00m00s [ 62/196] libogg-2:1.3.6-1.fc43.x86_64 100% | 16.3 MiB/s | 33.4 KiB | 00m00s [ 63/196] lame-libs-0:3.100-20.fc43.x86 100% | 82.7 MiB/s | 338.9 KiB | 00m00s [ 64/196] libvorbis-1:1.3.7-13.fc43.x86 100% | 61.3 MiB/s | 188.4 KiB | 00m00s [ 65/196] mpg123-libs-0:1.32.10-2.fc43. 100% | 86.8 MiB/s | 355.6 KiB | 00m00s [ 66/196] opus-0:1.5.2-3.fc43.x86_64 100% | 57.9 MiB/s | 237.1 KiB | 00m00s [ 67/196] libXau-0:1.0.12-3.fc43.x86_64 100% | 8.2 MiB/s | 33.4 KiB | 00m00s [ 68/196] libX11-common-0:1.8.12-1.fc43 100% | 57.3 MiB/s | 175.9 KiB | 00m00s [ 69/196] libdrm-0:2.4.125-2.fc43.x86_6 100% | 39.4 MiB/s | 161.3 KiB | 00m00s [ 70/196] libwayland-client-0:1.24.0-1. 100% | 16.4 MiB/s | 33.6 KiB | 00m00s [ 71/196] libwayland-server-0:1.24.0-1. 100% | 40.5 MiB/s | 41.5 KiB | 00m00s [ 72/196] libXxf86vm-0:1.1.6-3.fc43.x86 100% | 17.3 MiB/s | 17.7 KiB | 00m00s [ 73/196] mesa-libgbm-0:25.1.4-2.fc43.x 100% | 13.4 MiB/s | 27.4 KiB | 00m00s [ 74/196] libpciaccess-0:0.16-16.fc43.x 100% | 25.6 MiB/s | 26.2 KiB | 00m00s [ 75/196] libxshmfence-0:1.3.2-7.fc43.x 100% | 13.0 MiB/s | 13.3 KiB | 00m00s [ 76/196] libdecor-0:0.2.3-6.fc43.x86_6 100% | 28.2 MiB/s | 57.8 KiB | 00m00s [ 77/196] lm_sensors-libs-0:3.6.0-23.fc 100% | 39.7 MiB/s 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00m00s Complete! Finish: build setup for aida-x-1.1.0-1.fc43.src.rpm Start: rpmbuild aida-x-1.1.0-1.fc43.src.rpm Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1706745600 Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.2VqZir Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.QPZyim + umask 022 + cd /builddir/build/BUILD/aida-x-1.1.0-build + cd /builddir/build/BUILD/aida-x-1.1.0-build + rm -rf AIDA-X + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/AIDA-X.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + cd AIDA-X + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.I3PTrP + umask 022 + cd /builddir/build/BUILD/aida-x-1.1.0-build + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd AIDA-X + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + /usr/bin/cmake -S . -B redhat-linux-build -DCMAKE_C_FLAGS_RELEASE:STRING=-DNDEBUG -DCMAKE_CXX_FLAGS_RELEASE:STRING=-DNDEBUG -DCMAKE_Fortran_FLAGS_RELEASE:STRING=-DNDEBUG -DCMAKE_VERBOSE_MAKEFILE:BOOL=ON -DCMAKE_INSTALL_DO_STRIP:BOOL=OFF -DCMAKE_INSTALL_PREFIX:PATH=/usr -DCMAKE_INSTALL_FULL_SBINDIR:PATH=/usr/bin -DCMAKE_INSTALL_SBINDIR:PATH=bin -DINCLUDE_INSTALL_DIR:PATH=/usr/include -DLIB_INSTALL_DIR:PATH=/usr/lib64 -DSYSCONF_INSTALL_DIR:PATH=/etc -DSHARE_INSTALL_PREFIX:PATH=/usr/share -DLIB_SUFFIX=64 -DBUILD_SHARED_LIBS:BOOL=ON -- The C compiler identification is GNU 15.2.1 -- The CXX compiler identification is GNU 15.2.1 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/bin/gcc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /usr/bin/g++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done RTNEURAL_XSIMD in AIDA-X = FALSE, using processor type x86_64 and system name Linux CMake Deprecation Warning at modules/dpf/CMakeLists.txt:6 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument value. Or, use the ... syntax to tell CMake that the project requires at least but has been updated to work with policies introduced by or earlier. CMake Deprecation Warning at modules/rtneural/CMakeLists.txt:1 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument value. Or, use the ... syntax to tell CMake that the project requires at least but has been updated to work with policies introduced by or earlier. -- RTNeural -- Using Eigen backend (Default) -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success -- Found Threads: TRUE -- Found OpenGL: /usr/lib64/libOpenGL.so -- Found PkgConfig: /usr/bin/pkg-config (found version "2.3.0") -- Checking for module 'dbus-1' -- Found dbus-1, version 1.16.0 -- Found X11: /usr/include -- Looking for XOpenDisplay in /usr/lib64/libX11.so -- Looking for XOpenDisplay in /usr/lib64/libX11.so - found -- Looking for gethostbyname -- Looking for gethostbyname - found -- Looking for connect -- Looking for connect - found -- Looking for remove -- Looking for remove - found -- Looking for shmat -- Looking for shmat - found CMake Warning (dev) at modules/dpf/cmake/DPF-plugin.cmake:385 (add_custom_command): The following keywords are not supported when using add_custom_command(TARGET): DEPENDS. Policy CMP0175 is not set: add_custom_command() rejects invalid arguments. Run "cmake --help-policy CMP0175" for policy details. Use the cmake_policy command to set the policy and suppress this warning. Call Stack (most recent call first): modules/dpf/cmake/DPF-plugin.cmake:188 (dpf__build_lv2) CMakeLists.txt:44 (dpf_add_plugin) This warning is for project developers. Use -Wno-dev to suppress it. -- Checking for module 'sdl2' -- Found sdl2, version 2.32.56 -- Checking for module 'alsa' -- Found alsa, version 1.2.14 -- Checking for module 'libpulse-simple' -- Found libpulse-simple, version 17.0 CMake Warning (dev) at CMakeLists.txt:149 (add_custom_command): The following keywords are not supported when using add_custom_command(OUTPUT): PRE_BUILD. Policy CMP0175 is not set: add_custom_command() rejects invalid arguments. Run "cmake --help-policy CMP0175" for policy details. Use the cmake_policy command to set the policy and suppress this warning. This warning is for project developers. Use -Wno-dev to suppress it. CMake Warning (dev) at CMakeLists.txt:157 (add_custom_command): The following keywords are not supported when using add_custom_command(OUTPUT): PRE_BUILD. Policy CMP0175 is not set: add_custom_command() rejects invalid arguments. Run "cmake --help-policy CMP0175" for policy details. Use the cmake_policy command to set the policy and suppress this warning. This warning is for project developers. Use -Wno-dev to suppress it. -- Configuring done (1.9s) -- Generating done (0.0s) CMake Warning: Manually-specified variables were not used by the project: CMAKE_CXX_FLAGS_RELEASE CMAKE_C_FLAGS_RELEASE CMAKE_Fortran_FLAGS_RELEASE CMAKE_INSTALL_DO_STRIP CMAKE_INSTALL_FULL_SBINDIR CMAKE_INSTALL_SBINDIR INCLUDE_INSTALL_DIR LIB_INSTALL_DIR LIB_SUFFIX SHARE_INSTALL_PREFIX SYSCONF_INSTALL_DIR -- Build files have been written to: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build + /usr/bin/cmake --build redhat-linux-build -j4 --verbose Change Dir: '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' Run Build Command(s): /usr/bin/cmake -E env VERBOSE=1 /usr/bin/gmake -f Makefile -j4 /usr/bin/cmake -S/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X -B/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build//CMakeFiles/progress.marks /usr/bin/gmake -f CMakeFiles/Makefile2 all gmake[1]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/dgl-opengl.dir/build.make CMakeFiles/dgl-opengl.dir/depend /usr/bin/gmake -f modules/rtneural/RTNeural/CMakeFiles/RTNeural.dir/build.make modules/rtneural/RTNeural/CMakeFiles/RTNeural.dir/depend /usr/bin/gmake -f CMakeFiles/lv2_ttl_generator.dir/build.make CMakeFiles/lv2_ttl_generator.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/lv2_ttl_generator.dir/DependInfo.cmake "--color=" gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/modules/rtneural/RTNeural /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/modules/rtneural/RTNeural/CMakeFiles/RTNeural.dir/DependInfo.cmake "--color=" gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/dgl-opengl.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f modules/rtneural/RTNeural/CMakeFiles/RTNeural.dir/build.make modules/rtneural/RTNeural/CMakeFiles/RTNeural.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/lv2_ttl_generator.dir/build.make CMakeFiles/lv2_ttl_generator.dir/build /usr/bin/gmake -f CMakeFiles/dgl-opengl.dir/build.make CMakeFiles/dgl-opengl.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 1%] Building CXX object modules/rtneural/RTNeural/CMakeFiles/RTNeural.dir/RTNeural.cpp.o cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/modules/rtneural/RTNeural && /usr/bin/g++ -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -MD -MT modules/rtneural/RTNeural/CMakeFiles/RTNeural.dir/RTNeural.cpp.o -MF CMakeFiles/RTNeural.dir/RTNeural.cpp.o.d -o CMakeFiles/RTNeural.dir/RTNeural.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/RTNeural.cpp [ 2%] Building C object CMakeFiles/lv2_ttl_generator.dir/modules/dpf/utils/lv2-ttl-generator/lv2_ttl_generator.c.o /usr/bin/gcc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -std=gnu11 -fvisibility=hidden -MD -MT CMakeFiles/lv2_ttl_generator.dir/modules/dpf/utils/lv2-ttl-generator/lv2_ttl_generator.c.o -MF CMakeFiles/lv2_ttl_generator.dir/modules/dpf/utils/lv2-ttl-generator/lv2_ttl_generator.c.o.d -o CMakeFiles/lv2_ttl_generator.dir/modules/dpf/utils/lv2-ttl-generator/lv2_ttl_generator.c.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/utils/lv2-ttl-generator/lv2_ttl_generator.c [ 3%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/ApplicationPrivateData.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/ApplicationPrivateData.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/ApplicationPrivateData.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/ApplicationPrivateData.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/ApplicationPrivateData.cpp [ 5%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Application.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Application.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Application.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Application.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/Application.cpp [ 6%] Linking C executable lv2_ttl_generator /usr/bin/cmake -E cmake_link_script CMakeFiles/lv2_ttl_generator.dir/link.txt --verbose=1 In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/ApplicationPrivateData.cpp:20: /usr/include/c++/15/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ /usr/bin/gcc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -Wl,--dependency-file=CMakeFiles/lv2_ttl_generator.dir/link.d "CMakeFiles/lv2_ttl_generator.dir/modules/dpf/utils/lv2-ttl-generator/lv2_ttl_generator.c.o" -o lv2_ttl_generator -ldl gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 6%] Built target lv2_ttl_generator [ 7%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Color.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Color.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Color.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Color.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/Color.cpp [ 8%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/EventHandlers.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/EventHandlers.cpp.o -MF 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-I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/ImageBase.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/ImageBase.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/ImageBase.cpp.o 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CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/SubWidget.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/SubWidgetPrivateData.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/SubWidgetPrivateData.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/SubWidgetPrivateData.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/SubWidgetPrivateData.cpp [ 17%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/TopLevelWidget.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL 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/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/TopLevelWidgetPrivateData.cpp:19: /usr/include/c++/15/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ [ 20%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Widget.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Widget.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Widget.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Widget.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/Widget.cpp [ 21%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/WidgetPrivateData.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/WidgetPrivateData.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/WidgetPrivateData.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/WidgetPrivateData.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WidgetPrivateData.cpp [ 23%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Window.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Window.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Window.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Window.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/Window.cpp [ 24%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/WindowPrivateData.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/WindowPrivateData.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/WindowPrivateData.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/WindowPrivateData.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.cpp In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/Window.cpp:17: /usr/include/c++/15/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ [ 25%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/OpenGL.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/OpenGL.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/OpenGL.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/OpenGL.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/OpenGL.cpp In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.cpp:17: /usr/include/c++/15/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/OpenGL.cpp:29: /usr/include/c++/15/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ [ 26%] Linking CXX static library libRTNeural.a cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/modules/rtneural/RTNeural && /usr/bin/cmake -P CMakeFiles/RTNeural.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/modules/rtneural/RTNeural && /usr/bin/cmake -E cmake_link_script CMakeFiles/RTNeural.dir/link.txt --verbose=1 /usr/bin/ar qc libRTNeural.a CMakeFiles/RTNeural.dir/RTNeural.cpp.o /usr/bin/ranlib libRTNeural.a gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 26%] Built target RTNeural [ 28%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/NanoVG.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/NanoVG.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/NanoVG.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/NanoVG.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/NanoVG.cpp /usr/bin/gmake -f CMakeFiles/AIDA-X.dir/build.make CMakeFiles/AIDA-X.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/AIDA-X.dir/build.make CMakeFiles/AIDA-X.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 29%] Building C object CMakeFiles/AIDA-X.dir/_dpf_empty.c.o /usr/bin/gcc -DDGL_OPENGL -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -std=gnu11 -fPIC -fvisibility=hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X.dir/_dpf_empty.c.o -MF CMakeFiles/AIDA-X.dir/_dpf_empty.c.o.d -o CMakeFiles/AIDA-X.dir/_dpf_empty.c.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/_dpf_empty.c [ 30%] Linking CXX static library libAIDA-X.a /usr/bin/cmake -P CMakeFiles/AIDA-X.dir/cmake_clean_target.cmake /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X.dir/link.txt --verbose=1 /usr/bin/ar qc libAIDA-X.a "CMakeFiles/AIDA-X.dir/_dpf_empty.c.o" /usr/bin/ranlib libAIDA-X.a gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 30%] Built target AIDA-X [ 32%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Resources.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Resources.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Resources.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Resources.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/Resources.cpp /usr/bin/gmake -f CMakeFiles/AIDA-X-Standalone.dir/build.make CMakeFiles/AIDA-X-Standalone.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-Standalone.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/AIDA-X-Standalone.dir/build.make CMakeFiles/AIDA-X-Standalone.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 33%] Building C object CMakeFiles/AIDA-X-Standalone.dir/_dpf_empty.c.o /usr/bin/gcc -DDGL_OPENGL -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -std=gnu11 -fPIC -fvisibility=hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone.dir/_dpf_empty.c.o -MF CMakeFiles/AIDA-X-Standalone.dir/_dpf_empty.c.o.d -o CMakeFiles/AIDA-X-Standalone.dir/_dpf_empty.c.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/_dpf_empty.c [ 34%] Linking CXX static library libAIDA-X-Standalone.a /usr/bin/cmake -P CMakeFiles/AIDA-X-Standalone.dir/cmake_clean_target.cmake /usr/bin/gmake -f CMakeFiles/AIDA-X-dsp.dir/build.make CMakeFiles/AIDA-X-dsp.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-Standalone.dir/link.txt --verbose=1 [ 35%] Generating Files.cpp /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/utils/res2c.py Files /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/files /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /usr/bin/ar qc libAIDA-X-Standalone.a "CMakeFiles/AIDA-X-Standalone.dir/_dpf_empty.c.o" /usr/bin/ranlib libAIDA-X-Standalone.a gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 35%] Built target AIDA-X-Standalone [ 37%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/pugl.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/pugl.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/pugl.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/pugl.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.cpp Generating data for "/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/files/V30-P2-audix-i5-deerinkstudios.wav" Generating data for "/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/files/tw40_california_clean_deerinkstudios.json" cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-dsp.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/AIDA-X-dsp.dir/build.make CMakeFiles/AIDA-X-dsp.dir/build In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.cpp:17: /usr/include/c++/15/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 38%] Building CXX object CMakeFiles/AIDA-X-dsp.dir/Files.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-dsp.dir/Files.cpp.o -MF CMakeFiles/AIDA-X-dsp.dir/Files.cpp.o.d -o CMakeFiles/AIDA-X-dsp.dir/Files.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/Files.cpp [ 39%] Building CXX object CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/AudioFFT.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/AudioFFT.cpp.o -MF CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/AudioFFT.cpp.o.d -o CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/AudioFFT.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver/AudioFFT.cpp /usr/bin/gmake -f CMakeFiles/AIDA-X-Standalone-dsp.dir/build.make CMakeFiles/AIDA-X-Standalone-dsp.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-Standalone-dsp.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/AIDA-X-Standalone-dsp.dir/build.make CMakeFiles/AIDA-X-Standalone-dsp.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 41%] Building CXX object CMakeFiles/AIDA-X-Standalone-dsp.dir/Files.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-dsp.dir/Files.cpp.o -MF CMakeFiles/AIDA-X-Standalone-dsp.dir/Files.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-dsp.dir/Files.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/Files.cpp [ 42%] Building CXX object CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/AudioFFT.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/AudioFFT.cpp.o -MF CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/AudioFFT.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/AudioFFT.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver/AudioFFT.cpp [ 43%] Building CXX object CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/FFTConvolver.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/FFTConvolver.cpp.o -MF CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/FFTConvolver.cpp.o.d -o CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/FFTConvolver.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver/FFTConvolver.cpp In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../distrho/extra/FileBrowserDialogImpl.cpp:50, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.cpp:120: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../distrho/extra/sofd/libsofd.c: In function ‘x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../distrho/extra/sofd/libsofd.c:314:52: warning: ‘%s’ directive writing up to 1013 bytes into a region of size between 10 and 1023 [-Wformat-overflow=] 314 | sprintf(recent_file, "%s" PATHSEP "%s" PATHSEP "recent", xdg, appname); | ^~ In file included from /usr/include/stdio.h:970, from /usr/include/c++/15/cstdio:47, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../distrho/extra/../DistrhoUtils.hpp:23, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../distrho/extra/LeakDetector.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../Base.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:20: In function ‘sprintf’, inlined from ‘x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../distrho/extra/sofd/libsofd.c:314:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 9 and 2035 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../distrho/extra/sofd/libsofd.c: In function ‘x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../distrho/extra/sofd/libsofd.c:333:55: warning: ‘%s’ directive writing up to 1001 bytes into a region of size between 9 and 1010 [-Wformat-overflow=] 333 | sprintf(recent_file, "%s/.local/share/%s/recent", home, appname); | ^~ In function ‘sprintf’, inlined from ‘x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../distrho/extra/sofd/libsofd.c:333:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 22 and 2024 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ [ 44%] Building CXX object CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/TwoStageFFTConvolver.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/TwoStageFFTConvolver.cpp.o -MF CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/TwoStageFFTConvolver.cpp.o.d -o CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/TwoStageFFTConvolver.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver/TwoStageFFTConvolver.cpp [ 46%] Building CXX object CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/FFTConvolver.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/FFTConvolver.cpp.o -MF CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/FFTConvolver.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/FFTConvolver.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver/FFTConvolver.cpp [ 47%] Building CXX object CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/Utilities.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/Utilities.cpp.o -MF CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/Utilities.cpp.o.d -o CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/Utilities.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver/Utilities.cpp [ 48%] Building CXX object CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/TwoStageFFTConvolver.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/TwoStageFFTConvolver.cpp.o -MF CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/TwoStageFFTConvolver.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/TwoStageFFTConvolver.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver/TwoStageFFTConvolver.cpp [ 50%] Building CXX object CMakeFiles/AIDA-X-dsp.dir/modules/r8brain/pffft.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden 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-fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/Utilities.cpp.o -MF CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/Utilities.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/Utilities.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver/Utilities.cpp [ 52%] Building CXX object CMakeFiles/AIDA-X-dsp.dir/modules/r8brain/r8bbase.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin 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-DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/r8brain/r8bbase.cpp.o -MF CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/r8brain/r8bbase.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/r8brain/r8bbase.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain/r8bbase.cpp [ 56%] 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-I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-dsp.dir/src/aidadsp-plugin.cpp.o -MF CMakeFiles/AIDA-X-dsp.dir/src/aidadsp-plugin.cpp.o.d -o CMakeFiles/AIDA-X-dsp.dir/src/aidadsp-plugin.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp In file included from /usr/include/c++/15/backward/strstream:50, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp:19: /usr/include/c++/15/backward/backward_warning.h:32:2: warning: #warning This file includes at least one deprecated or antiquated header which may be removed without further notice at a future date. Please use a non-deprecated interface with equivalent functionality instead. For a listing of replacement headers and interfaces, consult the file backward_warning.h. To disable this warning use -Wno-deprecated. [-Wcpp] 32 | #warning \ | ^~~~~~~ [ 57%] Building CXX object CMakeFiles/AIDA-X-dsp.dir/src/Biquad.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json 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-I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-dsp.dir/src/aidadsp-plugin.cpp.o -MF CMakeFiles/AIDA-X-Standalone-dsp.dir/src/aidadsp-plugin.cpp.o.d -o 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-I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden 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Please use a non-deprecated interface with equivalent functionality instead. For a listing of replacement headers and interfaces, consult the file backward_warning.h. To disable this warning use -Wno-deprecated. [-Wcpp] 32 | #warning \ | ^~~~~~~ [ 61%] Building CXX object CMakeFiles/AIDA-X-dsp.dir/src/3rd-party.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-dsp.dir/src/3rd-party.cpp.o -MF CMakeFiles/AIDA-X-dsp.dir/src/3rd-party.cpp.o.d -o CMakeFiles/AIDA-X-dsp.dir/src/3rd-party.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/3rd-party.cpp /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp: In member function ‘void AidaDISTRHO::AidaDSPLoaderPlugin::loadDefaultModel()’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp:620:39: warning: ‘istrstream’ is deprecated: use 'std::istringstream' instead [-Wdeprecated-declarations] 620 | std::istrstream jsonStream(static_cast(static_cast(tw40_california_clean_deerinkstudiosData)), | ^ /usr/include/c++/15/backward/strstream:166:9: note: declared here 166 | class istrstream : public basic_istream | ^~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp: In member function ‘void AidaDISTRHO::AidaDSPLoaderPlugin::loadDefaultModel()’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp:620:39: warning: ‘istrstream’ is deprecated: use 'std::istringstream' instead [-Wdeprecated-declarations] 620 | std::istrstream jsonStream(static_cast(static_cast(tw40_california_clean_deerinkstudiosData)), | ^ /usr/include/c++/15/backward/strstream:166:9: note: declared here 166 | class istrstream : public basic_istream | ^~~~~~~~~~ [ 62%] Linking CXX static library libdgl-opengl.a /usr/bin/cmake -P CMakeFiles/dgl-opengl.dir/cmake_clean_target.cmake /usr/bin/cmake -E cmake_link_script CMakeFiles/dgl-opengl.dir/link.txt --verbose=1 /usr/bin/ar qc libdgl-opengl.a "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Application.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/ApplicationPrivateData.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Color.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/EventHandlers.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Geometry.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/ImageBase.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/ImageBaseWidgets.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Layout.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/SubWidget.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/SubWidgetPrivateData.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/TopLevelWidget.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/TopLevelWidgetPrivateData.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Widget.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/WidgetPrivateData.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Window.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/WindowPrivateData.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/OpenGL.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/NanoVG.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Resources.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/pugl.cpp.o" /usr/bin/ranlib libdgl-opengl.a gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 62%] Built target dgl-opengl [ 64%] Building CXX object CMakeFiles/AIDA-X-Standalone-dsp.dir/src/3rd-party.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-dsp.dir/src/3rd-party.cpp.o -MF CMakeFiles/AIDA-X-Standalone-dsp.dir/src/3rd-party.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-dsp.dir/src/3rd-party.cpp.o -c 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"/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/graphics/png/ax.png" Generating data for "/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/graphics/png/background-p2.png" Generating data for "/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/graphics/png/background.png" Generating data for "/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/graphics/png/knob.png" Generating data for "/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/graphics/png/scale.png" cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-ui.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory 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libAIDA-X-ui.a gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 69%] Built target AIDA-X-ui /usr/bin/gmake -f CMakeFiles/AIDA-X-Standalone-ui.dir/build.make CMakeFiles/AIDA-X-Standalone-ui.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-Standalone-ui.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/AIDA-X-Standalone-ui.dir/build.make 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-fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-ui.dir/Graphics.cpp.o -MF CMakeFiles/AIDA-X-Standalone-ui.dir/Graphics.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-ui.dir/Graphics.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/Graphics.cpp [ 71%] Building CXX object CMakeFiles/AIDA-X-Standalone-ui.dir/modules/dpf-widgets/opengl/Blendish.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-ui.dir/modules/dpf-widgets/opengl/Blendish.cpp.o -MF CMakeFiles/AIDA-X-Standalone-ui.dir/modules/dpf-widgets/opengl/Blendish.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-ui.dir/modules/dpf-widgets/opengl/Blendish.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl/Blendish.cpp /usr/bin/gmake -f CMakeFiles/AIDA-X-lv2-ui.dir/build.make CMakeFiles/AIDA-X-lv2-ui.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-lv2-ui.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/AIDA-X-lv2-ui.dir/build.make CMakeFiles/AIDA-X-lv2-ui.dir/build [ 73%] Building CXX object CMakeFiles/AIDA-X-Standalone-ui.dir/src/aidadsp-ui.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-ui.dir/src/aidadsp-ui.cpp.o -MF CMakeFiles/AIDA-X-Standalone-ui.dir/src/aidadsp-ui.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-ui.dir/src/aidadsp-ui.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-ui.cpp gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 74%] Building CXX object CMakeFiles/AIDA-X-lv2-ui.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o /usr/bin/g++ -DAIDA_X_lv2_ui_EXPORTS -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_LV2 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-lv2-ui.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -MF CMakeFiles/AIDA-X-lv2-ui.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o.d -o CMakeFiles/AIDA-X-lv2-ui.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:65, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp:17: /usr/include/c++/15/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru.h:8, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/Model.h:17, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/RTNeural.h:19, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:2, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp:13: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 1; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 1; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:658:41: required from here 658 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 2; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 2; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:662:41: required from here 662 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 3; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 3; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:666:41: required from here 666 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 4; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 4; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:670:42: required from here 670 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 5; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 5; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:674:42: required from here 674 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 6; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 6; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:678:42: required from here 678 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 7; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 7; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:682:42: required from here 682 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 8; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 8; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:686:42: required from here 686 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 9; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 9; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:690:42: required from here 690 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 10; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 10; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:694:42: required from here 694 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 11; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 11; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:698:42: required from here 698 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 12; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 12; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:702:42: required from here 702 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 13; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 13; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:706:42: required from here 706 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 14; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 14; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:710:42: required from here 710 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 15; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 15; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:714:42: required from here 714 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 16; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 16; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:718:42: required from here 718 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 17; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 17; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:722:42: required from here 722 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/FileBrowserDialogImpl.cpp:50, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:53: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:52: warning: ‘%s’ directive writing up to 1013 bytes into a region of size between 10 and 1023 [-Wformat-overflow=] 314 | sprintf(recent_file, "%s" PATHSEP "%s" PATHSEP "recent", xdg, appname); | ^~ In file included from /usr/include/stdio.h:970, from /usr/include/c++/15/cstdio:47, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/../DistrhoUtils.hpp:23, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/String.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoDetails.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:17: In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 9 and 2035 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:55: warning: ‘%s’ directive writing up to 1001 bytes into a region of size between 9 and 1010 [-Wformat-overflow=] 333 | sprintf(recent_file, "%s/.local/share/%s/recent", home, appname); | ^~ In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 22 and 2024 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 18; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 18; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:726:42: required from here 726 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 19; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 19; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:730:42: required from here 730 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 20; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 20; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:734:42: required from here 734 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 21; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 21; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:738:42: required from here 738 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 22; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 22; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:742:42: required from here 742 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ [ 75%] Linking CXX static library libAIDA-X-Standalone-ui.a /usr/bin/cmake -P CMakeFiles/AIDA-X-Standalone-ui.dir/cmake_clean_target.cmake /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-Standalone-ui.dir/link.txt --verbose=1 In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru.h:8, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/Model.h:17, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/RTNeural.h:19, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:2, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp:13: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 1; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 1; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:658:41: required from here 658 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 23; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 23; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:746:42: required from here 746 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /usr/bin/ar qc libAIDA-X-Standalone-ui.a "CMakeFiles/AIDA-X-Standalone-ui.dir/Graphics.cpp.o" "CMakeFiles/AIDA-X-Standalone-ui.dir/modules/dpf-widgets/opengl/Blendish.cpp.o" "CMakeFiles/AIDA-X-Standalone-ui.dir/src/aidadsp-ui.cpp.o" /usr/bin/ranlib libAIDA-X-Standalone-ui.a gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 76%] Built target AIDA-X-Standalone-ui /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 24; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 24; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:750:42: required from here 750 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 2; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 2; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:662:41: required from here 662 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 25; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 25; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:754:42: required from here 754 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 3; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 3; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:666:41: required from here 666 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 26; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 26; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:758:42: required from here 758 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 4; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 4; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:670:42: required from here 670 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 27; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 27; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:762:42: required from here 762 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 5; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 5; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:674:42: required from here 674 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm.h:6, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/Model.h:19: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 28; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 28; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:766:42: required from here 766 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 29; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 29; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:770:42: required from here 770 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 30; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 30; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:774:42: required from here 774 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 6; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 6; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:678:42: required from here 678 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 31; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 31; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:778:43: required from here 778 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 32; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 32; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:782:43: required from here 782 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 7; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 7; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:682:42: required from here 682 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 33; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 33; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:786:43: required from here 786 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 34; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 34; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:790:43: required from here 790 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 35; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 35; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 8; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 8; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:794:43: required from here 794 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ 1, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:686:42: required from here 686 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 36; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 36; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:798:43: required from here 798 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 37; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 37; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:802:43: required from here 802 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 9; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 9; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:690:42: required from here 690 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 38; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 38; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:806:43: required from here 806 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 39; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 39; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:810:43: required from here 810 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 10; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 10; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:694:42: required from here 694 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 40; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 40; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:814:43: required from here 814 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 41; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 41; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 11; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNayerT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:818:43: required from here 818 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ eural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 11; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:698:42: required from here 698 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 42; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 42; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:822:43: required from here 822 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 43; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 43; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:826:43: required from here 826 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 12; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 12; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:702:42: required from here 702 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 44; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 44; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:830:43: required from here 830 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 13; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 13; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:706:42: required from here 706 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 45; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 45; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:834:43: required from here 834 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 46; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 46; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:838:43: required from here 838 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 14; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 14; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:710:42: required from here 710 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 47; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 47; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:842:43: required from here 842 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 48; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 48; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:846:43: required from here 846 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 49; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 49; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:850:43: required from here 850 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 15; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 15; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:714:42: required from here 714 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 50; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 50; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:854:43: required from here 854 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 51; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 51; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 16; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 16; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:858:43: required from here 858 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ t, 1, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:718:42: required from here 718 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 52; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 52; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:862:43: required from here 862 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 53; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 53; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:866:43: required from here 866 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 17; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 17; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:722:42: required from here 722 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 54; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 54; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:870:43: required from here 870 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 18; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 18; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:726:42: required from here 726 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 19; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 19; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:730:42: required from here 730 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 20; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 20; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:734:42: required from here 734 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 21; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 21; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:738:42: required from here 738 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 22; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 22; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:742:42: required from here 742 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 23; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 23; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:746:42: required from here 746 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 24; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 24; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:750:42: required from here 750 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 25; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 25; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:754:42: required from here 754 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 26; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 26; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:758:42: required from here 758 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 27; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 27; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:762:42: required from here 762 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm.h:6, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/Model.h:19: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 28; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 28; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:766:42: required from here 766 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ [ 78%] Linking CXX shared module bin/AIDA-X.lv2/AIDA-X_ui.so /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-lv2-ui.dir/link.txt --verbose=1 /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 29; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 29; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:770:42: required from here 770 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 30; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 30; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:774:42: required from here 774 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 31; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 31; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:778:43: required from here 778 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 32; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 32; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:782:43: required from here 782 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 33; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 33; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:786:43: required from here 786 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 34; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 34; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:790:43: required from here 790 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 35; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 35; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:794:43: required from here 794 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 36; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 36; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:798:43: required from here 798 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 37; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 37; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:802:43: required from here 802 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 38; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 38; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:806:43: required from here 806 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 39; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 39; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:810:43: required from here 810 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 40; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 40; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:814:43: required from here 814 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 41; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 41; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:818:43: required from here 818 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 42; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 42; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:822:43: required from here 822 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 43; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 43; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:826:43: required from here 826 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 44; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 44; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:830:43: required from here 830 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 45; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 45; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:834:43: required from here 834 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 46; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 46; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:838:43: required from here 838 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 47; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 47; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:842:43: required from here 842 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 48; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 48; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:846:43: required from here 846 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 49; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 49; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:850:43: required from here 850 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 50; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 50; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:854:43: required from here 854 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 51; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 51; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:858:43: required from here 858 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 52; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 52; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:862:43: required from here 862 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 53; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 53; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:866:43: required from here 866 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::LSTMLayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 54; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 54; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:870:43: required from here 870 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense.h:9, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/Model.h:16: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 8; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 1; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 1; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:658:41: required from here 658 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 12; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 4; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 4; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:670:42: required from here 670 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 16; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 7; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 7; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:682:42: required from here 682 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 20; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 10; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 10; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:694:42: required from here 694 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 24; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 13; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 13; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:706:42: required from here 706 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 32; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 16; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 16; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:718:42: required from here 718 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 40; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 19; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 19; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:730:42: required from here 730 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 64; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 22; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 22; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:742:42: required from here 742 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 80; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 25; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 25; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:754:42: required from here 754 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense.h:9, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/Model.h:16: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 8; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 1; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 1; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:658:41: required from here 658 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 12; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 4; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 4; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:670:42: required from here 670 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 16; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 7; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 7; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:682:42: required from here 682 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 20; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 10; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 10; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:694:42: required from here 694 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 24; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 13; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 13; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:706:42: required from here 706 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 32; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 16; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 16; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:718:42: required from here 718 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 40; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 19; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 19; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:730:42: required from here 730 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 64; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 22; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 22; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:742:42: required from here 742 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 80; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2092:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ 2092 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 25; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 25; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:754:42: required from here 754 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /usr/bin/g++ -fPIC -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 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modules/rtneural/RTNeural/libRTNeural.a libdgl-opengl.a -ldbus-1 /usr/lib64/libX11.so /usr/lib64/libGL.so -ldl gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 78%] Built target AIDA-X-lv2-ui [ 79%] Linking CXX static library libAIDA-X-Standalone-dsp.a /usr/bin/cmake -P CMakeFiles/AIDA-X-Standalone-dsp.dir/cmake_clean_target.cmake [ 80%] Linking CXX static library libAIDA-X-dsp.a /usr/bin/cmake -P CMakeFiles/AIDA-X-dsp.dir/cmake_clean_target.cmake /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-dsp.dir/link.txt --verbose=1 /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-Standalone-dsp.dir/link.txt --verbose=1 /usr/bin/ar qc libAIDA-X-dsp.a "CMakeFiles/AIDA-X-dsp.dir/Files.cpp.o" "CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/AudioFFT.cpp.o" "CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/FFTConvolver.cpp.o" "CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/TwoStageFFTConvolver.cpp.o" 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"CMakeFiles/AIDA-X-Standalone-dsp.dir/src/aidadsp-plugin.cpp.o" "CMakeFiles/AIDA-X-Standalone-dsp.dir/src/Biquad.cpp.o" "CMakeFiles/AIDA-X-Standalone-dsp.dir/src/3rd-party.cpp.o" /usr/bin/ranlib libAIDA-X-Standalone-dsp.a gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 80%] Built target AIDA-X-dsp [ 82%] Built target AIDA-X-Standalone-dsp /usr/bin/gmake -f CMakeFiles/AIDA-X-clap.dir/build.make CMakeFiles/AIDA-X-clap.dir/depend /usr/bin/gmake -f CMakeFiles/AIDA-X-lv2.dir/build.make CMakeFiles/AIDA-X-lv2.dir/depend /usr/bin/gmake -f CMakeFiles/AIDA-X-vst2.dir/build.make CMakeFiles/AIDA-X-vst2.dir/depend /usr/bin/gmake -f CMakeFiles/AIDA-X-vst3.dir/build.make CMakeFiles/AIDA-X-vst3.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-vst3.dir/DependInfo.cmake "--color=" cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-lv2.dir/DependInfo.cmake "--color=" gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-clap.dir/DependInfo.cmake "--color=" gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-vst2.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o -MF CMakeFiles/AIDA-X-vst2.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o.d -o CMakeFiles/AIDA-X-vst2.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoPluginMain.cpp /usr/bin/g++ -DAIDA_X_vst3_EXPORTS -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_VST3 -DHAVE_DBUS -DHAVE_DGL 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-I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o -MF CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o.d -o CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoPluginMain.cpp [ 87%] Building CXX object CMakeFiles/AIDA-X-clap.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o /usr/bin/g++ -DAIDA_X_clap_EXPORTS -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_CLAP -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-clap.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o -MF CMakeFiles/AIDA-X-clap.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o.d -o CMakeFiles/AIDA-X-clap.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoPluginMain.cpp In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../../dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../../dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUIPrivateData.hpp:31, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUIInternal.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoPluginVST2.cpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoPluginMain.cpp:31: /usr/include/c++/15/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../../dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../../dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUIPrivateData.hpp:31, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUIInternal.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoPluginCLAP.cpp:38, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoPluginMain.cpp:22: /usr/include/c++/15/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ [ 88%] Building CXX object CMakeFiles/AIDA-X-vst2.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o /usr/bin/g++ -DAIDA_X_vst2_EXPORTS -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_VST2 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-vst2.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -MF CMakeFiles/AIDA-X-vst2.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o.d -o CMakeFiles/AIDA-X-vst2.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:65, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp:17: /usr/include/c++/15/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ [ 89%] Building CXX object CMakeFiles/AIDA-X-clap.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o /usr/bin/g++ -DAIDA_X_clap_EXPORTS -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_CLAP -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-clap.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -MF CMakeFiles/AIDA-X-clap.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o.d -o CMakeFiles/AIDA-X-clap.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:65, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp:17: /usr/include/c++/15/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ [ 91%] Building CXX object CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o /usr/bin/g++ -DAIDA_X_vst3_EXPORTS -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_VST3 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -MF CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o.d -o CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:65, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp:17: /usr/include/c++/15/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ [ 92%] Linking CXX shared module bin/AIDA-X.lv2/AIDA-X_dsp.so /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-lv2.dir/link.txt --verbose=1 In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/FileBrowserDialogImpl.cpp:50, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:53: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:52: warning: ‘%s’ directive writing up to 1013 bytes into a region of size between 10 and 1023 [-Wformat-overflow=] 314 | sprintf(recent_file, "%s" PATHSEP "%s" PATHSEP "recent", xdg, appname); | ^~ In file included from /usr/include/stdio.h:970, from /usr/include/c++/15/cstdio:47, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/../DistrhoUtils.hpp:23, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/String.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoDetails.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:17: In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 9 and 2035 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:55: warning: ‘%s’ directive writing up to 1001 bytes into a region of size between 9 and 1010 [-Wformat-overflow=] 333 | sprintf(recent_file, "%s/.local/share/%s/recent", home, appname); | ^~ In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 22 and 2024 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/FileBrowserDialogImpl.cpp:50, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:53: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:52: warning: ‘%s’ directive writing up to 1013 bytes into a region of size between 10 and 1023 [-Wformat-overflow=] 314 | sprintf(recent_file, "%s" PATHSEP "%s" PATHSEP "recent", xdg, appname); | ^~ In file included from /usr/include/stdio.h:970, from /usr/include/c++/15/cstdio:47, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/../DistrhoUtils.hpp:23, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/String.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoDetails.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:17: In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 9 and 2035 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:55: warning: ‘%s’ directive writing up to 1001 bytes into a region of size between 9 and 1010 [-Wformat-overflow=] 333 | sprintf(recent_file, "%s/.local/share/%s/recent", home, appname); | ^~ In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 22 and 2024 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ [ 93%] Linking CXX shared module bin/AIDA-X-vst2.so /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-vst2.dir/link.txt --verbose=1 [ 94%] Linking CXX shared module bin/AIDA-X.clap /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-clap.dir/link.txt --verbose=1 In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/FileBrowserDialogImpl.cpp:50, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:53: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:52: warning: ‘%s’ directive writing up to 1013 bytes into a region of size between 10 and 1023 [-Wformat-overflow=] 314 | sprintf(recent_file, "%s" PATHSEP "%s" PATHSEP "recent", xdg, appname); | ^~ In file included from /usr/include/stdio.h:970, from /usr/include/c++/15/cstdio:47, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/../DistrhoUtils.hpp:23, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/String.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoDetails.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:17: In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 9 and 2035 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:55: warning: ‘%s’ directive writing up to 1001 bytes into a region of size between 9 and 1010 [-Wformat-overflow=] 333 | sprintf(recent_file, "%s/.local/share/%s/recent", home, appname); | ^~ In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 22 and 2024 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ [ 96%] Linking CXX shared module bin/AIDA-X.vst3/Contents/x86_64-linux/AIDA-X.so /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-vst3.dir/link.txt --verbose=1 /usr/bin/g++ -fPIC -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -Xlinker --version-script=/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/utils/symbols/lv2-dsp.version -Wl,--dependency-file=CMakeFiles/AIDA-X-lv2.dir/link.d -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -shared -o bin/AIDA-X.lv2/AIDA-X_dsp.so "CMakeFiles/AIDA-X-lv2.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o" libAIDA-X-dsp.a libAIDA-X.a -ldl -ldbus-1 /usr/lib64/libX11.so modules/rtneural/RTNeural/libRTNeural.a cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/bin/AIDA-X.lv2 && /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/lv2_ttl_generator /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/bin/AIDA-X.lv2/AIDA-X_dsp.so Generate ttl data for '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/bin/AIDA-X.lv2/AIDA-X_dsp', basename: 'AIDA-X_dsp' Loading cabinet with 1 channels, 48000 Hz sample rate and 8192 frames Resampling to 44100.000000 Hz sample rate and 7528 frames Thread setup with realtime priority successful Thread with realtime priority failed on creation, going with normal priority instead # dimensions: 1 Layer: lstm Dims: 12 Layer: dense Dims: 1 Writing manifest.ttl... done! Writing AIDA-X_dsp.ttl... done! Writing AIDA-X_ui.ttl... done! gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 96%] Built target AIDA-X-lv2 /usr/bin/gmake -f CMakeFiles/AIDA-X-Standalone-jack.dir/build.make CMakeFiles/AIDA-X-Standalone-jack.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-Standalone-jack.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/AIDA-X-Standalone-jack.dir/build.make CMakeFiles/AIDA-X-Standalone-jack.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 97%] Building CXX object CMakeFiles/AIDA-X-Standalone-jack.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_JACK -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_GETTIMEOFDAY -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/usr/include/SDL2 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIE -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-jack.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o -MF CMakeFiles/AIDA-X-Standalone-jack.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-jack.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoPluginMain.cpp In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../../dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../../dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUIPrivateData.hpp:31, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUIInternal.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoPluginJACK.cpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoPluginMain.cpp:24: /usr/include/c++/15/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ [ 98%] Building CXX object CMakeFiles/AIDA-X-Standalone-jack.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_JACK -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_GETTIMEOFDAY -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/usr/include/SDL2 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIE -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-jack.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -MF CMakeFiles/AIDA-X-Standalone-jack.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-jack.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:65, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp:17: /usr/include/c++/15/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ /usr/bin/g++ -fPIC -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -Xlinker --version-script=/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/utils/symbols/clap.version -Wl,--dependency-file=CMakeFiles/AIDA-X-clap.dir/link.d -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -shared -o bin/AIDA-X.clap "CMakeFiles/AIDA-X-clap.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o" "CMakeFiles/AIDA-X-clap.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o" libAIDA-X-dsp.a libAIDA-X-ui.a libAIDA-X.a modules/rtneural/RTNeural/libRTNeural.a libdgl-opengl.a -ldbus-1 /usr/lib64/libX11.so /usr/lib64/libGL.so -ldl gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 98%] Built target AIDA-X-clap /usr/bin/g++ -fPIC -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -Xlinker --version-script=/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/utils/symbols/vst2.version -Wl,--dependency-file=CMakeFiles/AIDA-X-vst2.dir/link.d -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -shared -o bin/AIDA-X-vst2.so "CMakeFiles/AIDA-X-vst2.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o" "CMakeFiles/AIDA-X-vst2.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o" libAIDA-X-dsp.a libAIDA-X-ui.a libAIDA-X.a modules/rtneural/RTNeural/libRTNeural.a libdgl-opengl.a -ldbus-1 /usr/lib64/libX11.so /usr/lib64/libGL.so -ldl gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 98%] Built target AIDA-X-vst2 In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/FileBrowserDialogImpl.cpp:50, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:53: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:52: warning: ‘%s’ directive writing up to 1013 bytes into a region of size between 10 and 1023 [-Wformat-overflow=] 314 | sprintf(recent_file, "%s" PATHSEP "%s" PATHSEP "recent", xdg, appname); | ^~ In file included from /usr/include/stdio.h:970, from /usr/include/c++/15/cstdio:47, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/../DistrhoUtils.hpp:23, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/String.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoDetails.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:17: In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 9 and 2035 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:55: warning: ‘%s’ directive writing up to 1001 bytes into a region of size between 9 and 1010 [-Wformat-overflow=] 333 | sprintf(recent_file, "%s/.local/share/%s/recent", home, appname); | ^~ In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 22 and 2024 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ [100%] Linking CXX executable bin/AIDA-X /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-Standalone-jack.dir/link.txt --verbose=1 /usr/bin/g++ -fPIC -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -Xlinker --version-script=/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/utils/symbols/vst3.version -Wl,--dependency-file=CMakeFiles/AIDA-X-vst3.dir/link.d -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -shared -o bin/AIDA-X.vst3/Contents/x86_64-linux/AIDA-X.so "CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o" "CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o" libAIDA-X-dsp.a libAIDA-X-ui.a libAIDA-X.a modules/rtneural/RTNeural/libRTNeural.a libdgl-opengl.a -ldbus-1 /usr/lib64/libX11.so /usr/lib64/libGL.so -ldl gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [100%] Built target AIDA-X-vst3 /usr/bin/g++ -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -Wl,--dependency-file=CMakeFiles/AIDA-X-Standalone-jack.dir/link.d "CMakeFiles/AIDA-X-Standalone-jack.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o" "CMakeFiles/AIDA-X-Standalone-jack.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o" -o bin/AIDA-X libAIDA-X-Standalone-dsp.a libAIDA-X-Standalone-ui.a -lSDL2 -ldl -lasound -lpulse-simple -lpulse libAIDA-X-Standalone.a modules/rtneural/RTNeural/libRTNeural.a libdgl-opengl.a -ldbus-1 /usr/lib64/libX11.so /usr/lib64/libGL.so -ldl gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [100%] Built target AIDA-X-Standalone-jack gmake[1]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/cmake -E cmake_progress_start /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles 0 + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.LC5UnV + umask 022 + cd /builddir/build/BUILD/aida-x-1.1.0-build + '[' /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT '!=' / ']' + rm -rf /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT ++ dirname /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT + mkdir -p /builddir/build/BUILD/aida-x-1.1.0-build + mkdir /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd AIDA-X + install -m 755 -d /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/lib64/vst3/ + install -m 755 -d /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/lib64/vst/ + install -m 755 -d /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/lib64/clap/ + install -m 755 -d /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/lib64/lv2/ + install -m 755 -d /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/bin/ + cp -ra redhat-linux-build/bin/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/bin/ + cp -ra redhat-linux-build/bin/AIDA-X.clap /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/lib64/clap/ + cp -ra redhat-linux-build/bin/AIDA-X.lv2 /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/lib64/lv2/ + cp -ra redhat-linux-build/bin/AIDA-X-vst2.so /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/lib64/vst/ + cp -ra redhat-linux-build/bin/AIDA-X.vst3 /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/lib64/vst3/ + /usr/bin/find-debuginfo -j4 --strict-build-id -m -i --build-id-seed 1.1.0-1.fc43 --unique-debug-suffix -1.1.0-1.fc43.x86_64 --unique-debug-src-base aida-x-1.1.0-1.fc43.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X find-debuginfo: starting Extracting debug info from 6 files DWARF-compressing 6 files sepdebugcrcfix: Updated 6 CRC32s, 0 CRC32s did match. Creating .debug symlinks for symlinks to ELF files Copying sources found by 'debugedit -l' to /usr/src/debug/aida-x-1.1.0-1.fc43.x86_64 find-debuginfo: done + /usr/lib/rpm/check-buildroot + /usr/lib/rpm/redhat/brp-ldconfig + /usr/lib/rpm/brp-compress + /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip + /usr/lib/rpm/check-rpaths + /usr/lib/rpm/redhat/brp-mangle-shebangs *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/plugins/MatrixCwiseUnaryOps.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/plugins/MatrixCwiseBinaryOps.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/plugins/CommonCwiseUnaryOps.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/plugins/CommonCwiseBinaryOps.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/plugins/BlockMethods.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/plugins/ArrayCwiseUnaryOps.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/plugins/ArrayCwiseBinaryOps.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/SVD/JacobiSVD.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/SVD/BDCSVD.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/QR/HouseholderQR.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/QR/FullPivHouseholderQR.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/QR/CompleteOrthogonalDecomposition.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/QR/ColPivHouseholderQR.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/LU/PartialPivLU.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/LU/InverseImpl.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/LU/FullPivLU.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/LU/Determinant.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Householder/Householder.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Geometry/OrthoMethods.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Geometry/Homogeneous.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Geometry/EulerAngles.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Eigenvalues/MatrixBaseEigenvalues.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/util/XprHelper.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/util/Meta.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/util/Memory.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/util/Macros.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/util/ForwardDeclarations.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/util/Constants.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/util/BlasUtil.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/products/GeneralMatrixVector.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/products/GeneralBlockPanelKernel.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/functors/UnaryFunctors.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/functors/NullaryFunctors.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/functors/BinaryFunctors.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/functors/AssignmentFunctors.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/arch/SSE/TypeCasting.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/arch/SSE/PacketMath.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/arch/SSE/MathFunctions.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/arch/SSE/Complex.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/arch/Default/ConjHelper.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/VectorwiseOp.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/TriangularMatrix.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Transpose.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Stride.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/StableNorm.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/SelfCwiseBinaryOp.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Reverse.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Redux.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Random.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/ProductEvaluators.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Product.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/PlainObjectBase.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/PermutationMatrix.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/NumTraits.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/NoAlias.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/NestByValue.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/MatrixBase.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Matrix.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/MathFunctionsImpl.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/MathFunctions.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/MapBase.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Map.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/IO.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/GenericPacketMath.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/GeneralProduct.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Fuzzy.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/EigenBase.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Dot.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/DiagonalMatrix.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Diagonal.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/DenseStorage.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/DenseCoeffsBase.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/DenseBase.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/CwiseUnaryOp.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/CwiseNullaryOp.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/CwiseBinaryOp.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/CoreEvaluators.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/CommaInitializer.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/BooleanRedux.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Block.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/AssignEvaluator.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Assign.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/ArrayWrapper.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/ArrayBase.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Array.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Cholesky/LLT.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Cholesky/LDLT.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/rtneural/modules/Eigen/Eigen/Core is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/FFTConvolver/TwoStageFFTConvolver.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/FFTConvolver/TwoStageFFTConvolver.cpp is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/FFTConvolver/FFTConvolver.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/FFTConvolver/FFTConvolver.cpp is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/FFTConvolver/AudioFFT.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc43.x86_64/modules/FFTConvolver/AudioFFT.cpp is executable but has no shebang, removing executable bit + /usr/lib/rpm/brp-remove-la-files + /usr/lib/rpm/redhat/brp-python-rpm-in-distinfo + env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j4 + /usr/lib/rpm/redhat/brp-python-hardlink + /usr/bin/add-determinism --brp -j4 /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT Scanned 83 directories and 310 files, processed 0 inodes, 0 modified (0 replaced + 0 rewritten), 0 unsupported format, 0 errors Reading /builddir/build/BUILD/aida-x-1.1.0-build/SPECPARTS/rpm-debuginfo.specpart Processing files: aida-x-1.1.0-1.fc43.x86_64 Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.BJVWhi + umask 022 + cd /builddir/build/BUILD/aida-x-1.1.0-build + cd AIDA-X + DOCDIR=/builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/share/doc/aida-x + export LC_ALL=C.UTF-8 + LC_ALL=C.UTF-8 + export DOCDIR + /usr/bin/mkdir -p /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/share/doc/aida-x + cp -pr /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/README.md /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/share/doc/aida-x + RPM_EC=0 ++ jobs -p + exit 0 Executing(%license): /bin/sh -e /var/tmp/rpm-tmp.V8RU1Y + umask 022 + cd /builddir/build/BUILD/aida-x-1.1.0-build + cd AIDA-X + LICENSEDIR=/builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/share/licenses/aida-x + export LC_ALL=C.UTF-8 + LC_ALL=C.UTF-8 + export LICENSEDIR + /usr/bin/mkdir -p /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/share/licenses/aida-x + cp -pr /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/LICENSE /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/share/licenses/aida-x + RPM_EC=0 ++ jobs -p + exit 0 Provides: aida-x = 1.1.0-1.fc43 aida-x(x86-64) = 1.1.0-1.fc43 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: libGL.so.1()(64bit) libSDL2-2.0.so.0()(64bit) libX11.so.6()(64bit) libasound.so.2()(64bit) libasound.so.2(ALSA_0.9)(64bit) libasound.so.2(ALSA_0.9.0rc4)(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.15)(64bit) libc.so.6(GLIBC_2.17)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3.2)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.33)(64bit) libc.so.6(GLIBC_2.34)(64bit) libc.so.6(GLIBC_2.38)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libdbus-1.so.3()(64bit) libdbus-1.so.3(LIBDBUS_1_3)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.27)(64bit) libm.so.6(GLIBC_2.29)(64bit) libm.so.6(GLIBC_2.38)(64bit) libpulse-simple.so.0()(64bit) libpulse-simple.so.0(PULSE_0)(64bit) libpulse.so.0()(64bit) libpulse.so.0(PULSE_0)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.15)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: vst3-aida-x-1.1.0-1.fc43.x86_64 Provides: vst3-aida-x = 1.1.0-1.fc43 vst3-aida-x(x86-64) = 1.1.0-1.fc43 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: libGL.so.1()(64bit) libX11.so.6()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.15)(64bit) libc.so.6(GLIBC_2.17)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3)(64bit) libc.so.6(GLIBC_2.3.2)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.33)(64bit) libc.so.6(GLIBC_2.34)(64bit) libc.so.6(GLIBC_2.38)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libdbus-1.so.3()(64bit) libdbus-1.so.3(LIBDBUS_1_3)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.27)(64bit) libm.so.6(GLIBC_2.29)(64bit) libm.so.6(GLIBC_2.38)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.15)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: vst-aida-x-1.1.0-1.fc43.x86_64 Provides: vst-aida-x = 1.1.0-1.fc43 vst-aida-x(x86-64) = 1.1.0-1.fc43 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: libGL.so.1()(64bit) libX11.so.6()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.15)(64bit) libc.so.6(GLIBC_2.17)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3)(64bit) libc.so.6(GLIBC_2.3.2)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.33)(64bit) libc.so.6(GLIBC_2.34)(64bit) libc.so.6(GLIBC_2.38)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libdbus-1.so.3()(64bit) libdbus-1.so.3(LIBDBUS_1_3)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.27)(64bit) libm.so.6(GLIBC_2.29)(64bit) libm.so.6(GLIBC_2.38)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.15)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: lv2-aida-x-1.1.0-1.fc43.x86_64 Provides: lv2-aida-x = 1.1.0-1.fc43 lv2-aida-x(x86-64) = 1.1.0-1.fc43 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: libGL.so.1()(64bit) libX11.so.6()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.15)(64bit) libc.so.6(GLIBC_2.17)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3)(64bit) libc.so.6(GLIBC_2.3.2)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.33)(64bit) libc.so.6(GLIBC_2.34)(64bit) libc.so.6(GLIBC_2.38)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libdbus-1.so.3()(64bit) libdbus-1.so.3(LIBDBUS_1_3)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.27)(64bit) libm.so.6(GLIBC_2.29)(64bit) libm.so.6(GLIBC_2.38)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.15)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: clap-aida-x-1.1.0-1.fc43.x86_64 Provides: clap-aida-x = 1.1.0-1.fc43 clap-aida-x(x86-64) = 1.1.0-1.fc43 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: libGL.so.1()(64bit) libX11.so.6()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.15)(64bit) libc.so.6(GLIBC_2.17)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3)(64bit) libc.so.6(GLIBC_2.3.2)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.33)(64bit) libc.so.6(GLIBC_2.34)(64bit) libc.so.6(GLIBC_2.38)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libdbus-1.so.3()(64bit) libdbus-1.so.3(LIBDBUS_1_3)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.27)(64bit) libm.so.6(GLIBC_2.29)(64bit) libm.so.6(GLIBC_2.38)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.15)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: aida-x-debugsource-1.1.0-1.fc43.x86_64 Provides: aida-x-debugsource = 1.1.0-1.fc43 aida-x-debugsource(x86-64) = 1.1.0-1.fc43 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Processing files: aida-x-debuginfo-1.1.0-1.fc43.x86_64 Provides: aida-x-debuginfo = 1.1.0-1.fc43 aida-x-debuginfo(x86-64) = 1.1.0-1.fc43 debuginfo(build-id) = b48227e4f0b464b10bc127a6afaa925a25b7b1f8 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: aida-x-debugsource(x86-64) = 1.1.0-1.fc43 Processing files: vst3-aida-x-debuginfo-1.1.0-1.fc43.x86_64 Provides: debuginfo(build-id) = 15f158361b22d80b227eada5f46669350eb4b368 vst3-aida-x-debuginfo = 1.1.0-1.fc43 vst3-aida-x-debuginfo(x86-64) = 1.1.0-1.fc43 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: aida-x-debugsource(x86-64) = 1.1.0-1.fc43 Processing files: vst-aida-x-debuginfo-1.1.0-1.fc43.x86_64 Provides: debuginfo(build-id) = 493cc2d1dff5ae0895384781624f0c291aed51bb vst-aida-x-debuginfo = 1.1.0-1.fc43 vst-aida-x-debuginfo(x86-64) = 1.1.0-1.fc43 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: aida-x-debugsource(x86-64) = 1.1.0-1.fc43 Processing files: lv2-aida-x-debuginfo-1.1.0-1.fc43.x86_64 Provides: debuginfo(build-id) = 3eec3a56b76cc000e620cea9fca1d526e11e6724 debuginfo(build-id) = 6cf4caad4cade21ace3108dbfcb29635bf619d5d lv2-aida-x-debuginfo = 1.1.0-1.fc43 lv2-aida-x-debuginfo(x86-64) = 1.1.0-1.fc43 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: aida-x-debugsource(x86-64) = 1.1.0-1.fc43 Processing files: clap-aida-x-debuginfo-1.1.0-1.fc43.x86_64 Provides: clap-aida-x-debuginfo = 1.1.0-1.fc43 clap-aida-x-debuginfo(x86-64) = 1.1.0-1.fc43 debuginfo(build-id) = 000df89f0833214147e02091704924085fd75082 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: aida-x-debugsource(x86-64) = 1.1.0-1.fc43 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT Wrote: /builddir/build/RPMS/vst-aida-x-debuginfo-1.1.0-1.fc43.x86_64.rpm Wrote: /builddir/build/RPMS/clap-aida-x-debuginfo-1.1.0-1.fc43.x86_64.rpm Wrote: /builddir/build/RPMS/vst3-aida-x-debuginfo-1.1.0-1.fc43.x86_64.rpm Wrote: /builddir/build/RPMS/aida-x-1.1.0-1.fc43.x86_64.rpm Wrote: /builddir/build/RPMS/vst3-aida-x-1.1.0-1.fc43.x86_64.rpm Wrote: /builddir/build/RPMS/lv2-aida-x-1.1.0-1.fc43.x86_64.rpm Wrote: /builddir/build/RPMS/clap-aida-x-1.1.0-1.fc43.x86_64.rpm Wrote: /builddir/build/RPMS/vst-aida-x-1.1.0-1.fc43.x86_64.rpm Wrote: /builddir/build/RPMS/aida-x-debugsource-1.1.0-1.fc43.x86_64.rpm Wrote: /builddir/build/RPMS/lv2-aida-x-debuginfo-1.1.0-1.fc43.x86_64.rpm Wrote: /builddir/build/RPMS/aida-x-debuginfo-1.1.0-1.fc43.x86_64.rpm Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.9AML0r + umask 022 + cd /builddir/build/BUILD/aida-x-1.1.0-build + test -d /builddir/build/BUILD/aida-x-1.1.0-build + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/aida-x-1.1.0-build + rm -rf /builddir/build/BUILD/aida-x-1.1.0-build + RPM_EC=0 ++ jobs -p + exit 0 Finish: rpmbuild aida-x-1.1.0-1.fc43.src.rpm Finish: build phase for aida-x-1.1.0-1.fc43.src.rpm INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-43-x86_64-1758072343.269884/root/var/log/dnf5.log INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz /bin/tar: Removing leading `/' from member names INFO: Done(/var/lib/copr-rpmbuild/results/aida-x-1.1.0-1.fc43.src.rpm) Config(child) 5 minutes 30 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot Finish: run Running RPMResults tool Package info: { "packages": [ { "name": "aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc43", "arch": "x86_64" }, { "name": "vst3-aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc43", "arch": "x86_64" }, { "name": "aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc43", "arch": "src" }, { "name": "lv2-aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc43", "arch": "x86_64" }, { "name": "lv2-aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc43", "arch": "x86_64" }, { "name": "aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc43", "arch": "x86_64" }, { "name": "vst3-aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc43", "arch": "x86_64" }, { "name": "aida-x-debugsource", "epoch": null, "version": "1.1.0", "release": "1.fc43", "arch": "x86_64" }, { "name": "clap-aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc43", "arch": "x86_64" }, { "name": "clap-aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc43", "arch": "x86_64" }, { "name": "vst-aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc43", "arch": "x86_64" }, { "name": "vst-aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc43", "arch": "x86_64" } ] } RPMResults finished