Warning: Permanently added '35.175.182.66' (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/8029639-fedora-41-aarch64 --chroot fedora-41-aarch64 Version: 0.73 PID: 9231 Logging PID: 9232 Task: {'allow_user_ssh': False, 'appstream': False, 'background': False, 'build_id': 8029639, 'buildroot_pkgs': [], 'chroot': 'fedora-41-aarch64', 'enable_net': True, 'fedora_review': False, 'git_hash': '67db99219302402bd5db4a5a2ee877b4b663b8f1', '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-41-aarch64/', 'id': 'copr_base', 'name': 'Copr repository', 'priority': None}, {'baseurl': 'https://download1.rpmfusion.org/free/fedora/development/$releasever/Everything/$basearch/os/', 'id': 'https_download1_rpmfusion_org_free_fedora_development_releasever_Everything_basearch_os', 'name': 'Additional repo ' 'https_download1_rpmfusion_org_free_fedora_development_releasever_Everything_basearch_os'}, {'baseurl': 'https://codecs.fedoraproject.org/openh264/$releasever/$basearch/os/', 'id': 'https_codecs_fedoraproject_org_openh264_releasever_basearch_os', 'name': 'Additional repo https_codecs_fedoraproject_org_openh264_releasever_basearch_os'}], 'sandbox': 'ycollet/audinux--ycollet', 'source_json': {}, 'source_type': None, 'ssh_public_keys': None, 'submitter': 'ycollet', 'tags': [], 'task_id': '8029639-fedora-41-aarch64', '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-gkgc14jm/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-gkgc14jm/aida-x', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-gkgc14jm/aida-x'... Running: git checkout 67db99219302402bd5db4a5a2ee877b4b663b8f1 -- cmd: ['git', 'checkout', '67db99219302402bd5db4a5a2ee877b4b663b8f1', '--'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-gkgc14jm/aida-x rc: 0 stdout: stderr: Note: switching to '67db99219302402bd5db4a5a2ee877b4b663b8f1'. 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 67db992 automatic import of aida-x Running: copr-distgit-client sources cmd: ['copr-distgit-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-gkgc14jm/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 /usr/bin/tail: /var/lib/copr-rpmbuild/main.log: file truncated 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 34.9M 0 --:--:-- --:--:-- --:--:-- 34.9M INFO: Reading stdout from command: md5sum AIDA-X.tar.gz Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-gkgc14jm/aida-x/aidax.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-gkgc14jm/aida-x --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1726628159.900738 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 5.6 starting (python version = 3.12.1, NVR = mock-5.6-1.fc39), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-gkgc14jm/aida-x/aidax.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-gkgc14jm/aida-x --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1726628159.900738 -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-gkgc14jm/aida-x/aidax.spec) Config(fedora-41-aarch64) Start: clean chroot Finish: clean chroot Mock Version: 5.6 INFO: Mock Version: 5.6 Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-41-aarch64-bootstrap-1726628159.900738/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 bootstrap image: registry.fedoraproject.org/fedora:41 INFO: Pulling image: registry.fedoraproject.org/fedora:41 INFO: Copy content of container registry.fedoraproject.org/fedora:41 to /var/lib/mock/fedora-41-aarch64-bootstrap-1726628159.900738/root INFO: Checking that registry.fedoraproject.org/fedora:41 image matches host's architecture INFO: mounting registry.fedoraproject.org/fedora:41 with podman image mount INFO: image registry.fedoraproject.org/fedora:41 as /var/lib/containers/storage/overlay/a451cbdeff861db80e0ecc54f1e694893e38421ce22d319ad31e75bb502bda08/merged INFO: umounting image registry.fedoraproject.org/fedora:41 (/var/lib/containers/storage/overlay/a451cbdeff861db80e0ecc54f1e694893e38421ce22d319ad31e75bb502bda08/merged) with podman image umount 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-41-aarch64-1726628159.900738/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-4.19.92-6.fc41.aarch64 rpm-sequoia-1.7.0-2.fc41.aarch64 dnf5-5.2.5.0-2.fc41.aarch64 dnf5-plugins-5.2.5.0-2.fc41.aarch64 Start: installing minimal buildroot with dnf5 Updating and loading repositories: updates 100% | 57.3 KiB/s | 14.6 KiB | 00m00s fedora 100% | 39.1 KiB/s | 10.3 KiB | 00m00s Copr repository 100% | 101.9 KiB/s | 1.5 KiB | 00m00s Additional repo https_download1_rpmfus 100% | 12.3 KiB/s | 3.7 KiB | 00m00s Additional repo https_codecs_fedorapro 100% | 11.3 KiB/s | 2.3 KiB | 00m00s Copr repository 100% | 3.2 MiB/s | 105.9 KiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing group/module packages: bash aarch64 5.2.32-1.fc41 fedora 8.3 MiB bzip2 aarch64 1.0.8-19.fc41 fedora 427.6 KiB coreutils aarch64 9.5-9.fc41 fedora 20.8 MiB cpio aarch64 2.15-2.fc41 fedora 1.2 MiB diffutils aarch64 3.10-8.fc41 fedora 2.1 MiB fedora-release-common noarch 41-0.21 fedora 19.4 KiB findutils aarch64 1:4.10.0-4.fc41 fedora 2.1 MiB gawk aarch64 5.3.0-4.fc41 fedora 4.2 MiB glibc-minimal-langpack aarch64 2.40-3.fc41 fedora 0.0 B grep aarch64 3.11-9.fc41 fedora 1.1 MiB gzip aarch64 1.13-2.fc41 fedora 488.9 KiB info aarch64 7.1-3.fc41 fedora 613.6 KiB patch aarch64 2.7.6-25.fc41 fedora 390.6 KiB redhat-rpm-config noarch 293-1.fc41 fedora 183.5 KiB rpm-build aarch64 4.19.92-6.fc41 fedora 1.4 MiB sed aarch64 4.9-3.fc41 fedora 1.0 MiB shadow-utils aarch64 2:4.15.1-9.fc41 fedora 7.3 MiB tar aarch64 2:1.35-4.fc41 fedora 3.1 MiB unzip aarch64 6.0-64.fc41 fedora 726.7 KiB util-linux aarch64 2.40.2-4.fc41 fedora 17.5 MiB which aarch64 2.21-42.fc41 fedora 248.2 KiB xz aarch64 1:5.6.2-2.fc41 fedora 1.5 MiB Installing dependencies: add-determinism aarch64 0.3.6-1.fc41 fedora 2.0 MiB alternatives aarch64 1.30-1.fc41 fedora 218.3 KiB ansible-srpm-macros noarch 1-16.fc41 fedora 35.7 KiB audit-libs aarch64 4.0.2-1.fc41 fedora 547.4 KiB authselect aarch64 1.5.0-7.fc41 fedora 309.5 KiB authselect-libs aarch64 1.5.0-7.fc41 fedora 931.9 KiB basesystem noarch 11-21.fc41 fedora 0.0 B binutils aarch64 2.43-3.fc41 fedora 33.0 MiB build-reproducibility-srpm-macros noarch 0.3.6-1.fc41 fedora 735.0 B bzip2-libs aarch64 1.0.8-19.fc41 fedora 200.7 KiB ca-certificates noarch 2024.2.68_v8.0.302-3.fc41 fedora 2.3 MiB coreutils-common aarch64 9.5-9.fc41 fedora 11.2 MiB cracklib aarch64 2.9.11-6.fc41 fedora 935.0 KiB crypto-policies noarch 20240826-1.gite824389.fc41 fedora 136.9 KiB curl aarch64 8.9.1-2.fc41 fedora 924.3 KiB cyrus-sasl-lib aarch64 2.1.28-27.fc41 fedora 3.1 MiB debugedit aarch64 5.0-17.fc41 fedora 499.2 KiB dwz aarch64 0.15-7.fc41 fedora 386.8 KiB ed aarch64 1.20.2-2.fc41 fedora 282.8 KiB efi-srpm-macros noarch 5-12.fc41 fedora 40.1 KiB elfutils aarch64 0.191-8.fc41 fedora 4.9 MiB elfutils-debuginfod-client aarch64 0.191-8.fc41 fedora 396.9 KiB elfutils-default-yama-scope noarch 0.191-8.fc41 fedora 1.8 KiB elfutils-libelf aarch64 0.191-8.fc41 fedora 1.3 MiB elfutils-libs aarch64 0.191-8.fc41 fedora 938.3 KiB fedora-gpg-keys noarch 41-0.5 fedora 126.4 KiB fedora-release noarch 41-0.21 fedora 0.0 B fedora-release-identity-basic noarch 41-0.21 fedora 684.0 B fedora-repos noarch 41-0.5 fedora 4.9 KiB file aarch64 5.45-7.fc41 fedora 267.5 KiB file-libs aarch64 5.45-7.fc41 fedora 10.0 MiB filesystem aarch64 3.18-23.fc41 fedora 106.0 B fonts-srpm-macros noarch 1:2.0.5-17.fc41 fedora 55.8 KiB forge-srpm-macros noarch 0.3.2-1.fc41 fedora 39.0 KiB fpc-srpm-macros noarch 1.3-13.fc41 fedora 144.0 B gdb-minimal aarch64 15.1-1.fc41 fedora 11.8 MiB gdbm aarch64 1:1.23-7.fc41 fedora 928.5 KiB gdbm-libs aarch64 1:1.23-7.fc41 fedora 426.0 KiB ghc-srpm-macros noarch 1.9.1-2.fc41 fedora 747.0 B glibc aarch64 2.40-3.fc41 fedora 9.2 MiB glibc-common aarch64 2.40-3.fc41 fedora 2.6 MiB glibc-gconv-extra aarch64 2.40-3.fc41 fedora 49.2 MiB gmp aarch64 1:6.3.0-2.fc41 fedora 722.0 KiB gnat-srpm-macros noarch 6-6.fc41 fedora 1.0 KiB go-srpm-macros noarch 3.6.0-3.fc41 fedora 60.8 KiB jansson aarch64 2.13.1-10.fc41 fedora 220.5 KiB kernel-srpm-macros noarch 1.0-24.fc41 fedora 1.9 KiB keyutils-libs aarch64 1.6.3-4.fc41 fedora 226.4 KiB krb5-libs aarch64 1.21.3-2.fc41 fedora 3.3 MiB libacl aarch64 2.3.2-2.fc41 fedora 196.1 KiB libarchive aarch64 3.7.4-3.fc41 fedora 974.7 KiB libattr aarch64 2.5.2-4.fc41 fedora 196.6 KiB libblkid aarch64 2.40.2-4.fc41 fedora 418.6 KiB libbrotli aarch64 1.1.0-5.fc41 fedora 1.1 MiB libcap aarch64 2.70-4.fc41 fedora 1.4 MiB libcap-ng aarch64 0.8.5-3.fc41 fedora 417.2 KiB libcom_err aarch64 1.47.1-3.fc41 fedora 239.3 KiB libcurl aarch64 8.9.1-2.fc41 fedora 858.2 KiB libeconf aarch64 0.6.2-3.fc41 fedora 206.1 KiB libevent aarch64 2.1.12-14.fc41 fedora 1.5 MiB libfdisk aarch64 2.40.2-4.fc41 fedora 482.9 KiB libffi aarch64 3.4.6-3.fc41 fedora 282.4 KiB libgcc aarch64 14.2.1-3.fc41 fedora 350.2 KiB libgomp aarch64 14.2.1-3.fc41 fedora 567.1 KiB libidn2 aarch64 2.3.7-2.fc41 fedora 457.2 KiB libmount aarch64 2.40.2-4.fc41 fedora 483.9 KiB libnghttp2 aarch64 1.62.1-2.fc41 fedora 262.2 KiB libnsl2 aarch64 2.0.1-2.fc41 fedora 222.0 KiB libpkgconf aarch64 2.3.0-1.fc41 fedora 198.1 KiB libpsl aarch64 0.21.5-4.fc41 fedora 196.6 KiB libpwquality aarch64 1.4.5-11.fc41 fedora 1.1 MiB libselinux aarch64 3.7-5.fc41 fedora 265.1 KiB libsemanage aarch64 3.7-2.fc41 fedora 361.5 KiB libsepol aarch64 3.7-2.fc41 fedora 874.0 KiB libsmartcols aarch64 2.40.2-4.fc41 fedora 288.5 KiB libssh aarch64 0.10.6-8.fc41 fedora 581.3 KiB libssh-config noarch 0.10.6-8.fc41 fedora 277.0 B libstdc++ aarch64 14.2.1-3.fc41 fedora 2.8 MiB libtasn1 aarch64 4.19.0-9.fc41 fedora 283.8 KiB libtirpc aarch64 1.3.5-0.fc41 fedora 274.8 KiB libtool-ltdl aarch64 2.4.7-12.fc41 fedora 222.2 KiB libunistring aarch64 1.1-8.fc41 fedora 1.8 MiB libutempter aarch64 1.2.1-15.fc41 fedora 417.8 KiB libuuid aarch64 2.40.2-4.fc41 fedora 197.6 KiB libverto aarch64 0.3.2-9.fc41 fedora 197.5 KiB libxcrypt aarch64 4.4.36-7.fc41 fedora 399.0 KiB libxml2 aarch64 2.12.8-2.fc41 fedora 2.1 MiB libzstd aarch64 1.5.6-2.fc41 fedora 796.0 KiB lua-libs aarch64 5.4.6-6.fc41 fedora 393.1 KiB lua-srpm-macros noarch 1-14.fc41 fedora 1.3 KiB lz4-libs aarch64 1.10.0-1.fc41 fedora 261.6 KiB mpfr aarch64 4.2.1-5.fc41 fedora 818.9 KiB ncurses-base noarch 6.5-2.20240629.fc41 fedora 326.3 KiB ncurses-libs aarch64 6.5-2.20240629.fc41 fedora 2.2 MiB ocaml-srpm-macros noarch 10-3.fc41 fedora 1.9 KiB openblas-srpm-macros noarch 2-18.fc41 fedora 112.0 B openldap aarch64 2.6.8-5.fc41 fedora 952.3 KiB openssl-libs aarch64 1:3.2.2-5.fc41 fedora 7.2 MiB p11-kit aarch64 0.25.5-3.fc41 fedora 2.6 MiB p11-kit-trust aarch64 0.25.5-3.fc41 fedora 655.6 KiB package-notes-srpm-macros noarch 0.5-12.fc41 fedora 1.6 KiB pam aarch64 1.6.1-5.fc41 fedora 11.0 MiB pam-libs aarch64 1.6.1-5.fc41 fedora 607.3 KiB pcre2 aarch64 10.44-1.fc41.1 fedora 905.5 KiB pcre2-syntax noarch 10.44-1.fc41.1 fedora 251.6 KiB perl-srpm-macros noarch 1-56.fc41 fedora 861.0 B pkgconf aarch64 2.3.0-1.fc41 fedora 240.6 KiB pkgconf-m4 noarch 2.3.0-1.fc41 fedora 14.4 KiB pkgconf-pkg-config aarch64 2.3.0-1.fc41 fedora 990.0 B popt aarch64 1.19-7.fc41 fedora 272.9 KiB publicsuffix-list-dafsa noarch 20240107-4.fc41 fedora 67.5 KiB pyproject-srpm-macros noarch 1.14.0-1.fc41 fedora 1.9 KiB python-srpm-macros noarch 3.13-3.fc41 fedora 51.0 KiB qt5-srpm-macros noarch 5.15.15-1.fc41 fedora 500.0 B qt6-srpm-macros noarch 6.7.2-3.fc41 fedora 456.0 B readline aarch64 8.2-10.fc41 fedora 753.3 KiB rpm aarch64 4.19.92-6.fc41 fedora 3.9 MiB rpm-build-libs aarch64 4.19.92-6.fc41 fedora 262.7 KiB rpm-libs aarch64 4.19.92-6.fc41 fedora 797.9 KiB rpm-sequoia aarch64 1.7.0-2.fc41 fedora 2.3 MiB rust-srpm-macros noarch 26.3-3.fc41 fedora 4.8 KiB setup noarch 2.15.0-5.fc41 fedora 720.7 KiB sqlite-libs aarch64 3.46.1-1.fc41 fedora 1.6 MiB systemd-libs aarch64 256.5-1.fc41 fedora 2.5 MiB util-linux-core aarch64 2.40.2-4.fc41 fedora 6.2 MiB xxhash-libs aarch64 0.8.2-3.fc41 fedora 212.3 KiB xz-libs aarch64 1:5.6.2-2.fc41 fedora 266.4 KiB zig-srpm-macros noarch 1-3.fc41 fedora 1.1 KiB zip aarch64 3.0-41.fc41 fedora 1.1 MiB zlib-ng-compat aarch64 2.1.7-2.fc41 fedora 261.8 KiB zstd aarch64 1.5.6-2.fc41 fedora 1.7 MiB Installing groups: Buildsystem building group Transaction Summary: Installing: 153 packages Total size of inbound packages is 53 MiB. Need to download 0 B. After this operation 303 MiB will be used (install 303 MiB, remove 0 B). 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[ 1/155] Verify package files 100% | 714.0 B/s | 153.0 B | 00m00s >>> Running pre-transaction scriptlet: filesystem-0:3.18-23.fc41.aarch64 >>> Stop pre-transaction scriptlet: filesystem-0:3.18-23.fc41.aarch64 [ 2/155] Prepare transaction 100% | 2.5 KiB/s | 153.0 B | 00m00s [ 3/155] Installing libgcc-0:14.2.1-3. 100% | 171.8 MiB/s | 351.9 KiB | 00m00s >>> Running post-install scriptlet: libgcc-0:14.2.1-3.fc41.aarch64 >>> Stop post-install scriptlet: libgcc-0:14.2.1-3.fc41.aarch64 [ 4/155] Installing libssh-config-0:0. 100% | 0.0 B/s | 816.0 B | 00m00s [ 5/155] Installing publicsuffix-list- 100% | 66.7 MiB/s | 68.3 KiB | 00m00s [ 6/155] Installing fedora-release-ide 100% | 918.0 KiB/s | 940.0 B | 00m00s [ 7/155] Installing fedora-gpg-keys-0: 100% | 33.6 MiB/s | 172.2 KiB | 00m00s [ 8/155] Installing fedora-repos-0:41- 100% | 0.0 B/s | 5.7 KiB | 00m00s [ 9/155] Installing fedora-release-com 100% | 23.1 MiB/s | 23.7 KiB | 00m00s [ 10/155] Installing fedora-release-0:4 100% | 0.0 B/s | 124.0 B | 00m00s [ 11/155] Installing setup-0:2.15.0-5.f 100% | 44.3 MiB/s | 726.1 KiB | 00m00s >>> Running post-install scriptlet: setup-0:2.15.0-5.fc41.noarch >>> Stop post-install scriptlet: setup-0:2.15.0-5.fc41.noarch [ 12/155] Installing filesystem-0:3.18- 100% | 2.2 MiB/s | 212.5 KiB | 00m00s [ 13/155] Installing basesystem-0:11-21 100% | 0.0 B/s | 124.0 B | 00m00s [ 14/155] Installing pcre2-syntax-0:10. 100% | 124.1 MiB/s | 254.1 KiB | 00m00s [ 15/155] Installing ncurses-base-0:6.5 100% | 49.1 MiB/s | 351.7 KiB | 00m00s [ 16/155] Installing glibc-minimal-lang 100% | 0.0 B/s | 124.0 B | 00m00s [ 17/155] Installing ncurses-libs-0:6.5 100% | 281.1 MiB/s | 2.2 MiB | 00m00s >>> Running pre-install scriptlet: glibc-0:2.40-3.fc41.aarch64 >>> Stop pre-install scriptlet: glibc-0:2.40-3.fc41.aarch64 warning: posix.fork(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.execute() instead warning: posix.wait(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.execute() instead warning: posix.exec(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.execute() instead warning: posix.fork(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.execute() instead warning: posix.wait(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.execute() instead warning: posix.exec(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.execute() instead [ 18/155] Installing glibc-0:2.40-3.fc4 100% | 264.6 MiB/s | 9.3 MiB | 00m00s >>> Running post-install scriptlet: glibc-0:2.40-3.fc41.aarch64 >>> Stop post-install scriptlet: glibc-0:2.40-3.fc41.aarch64 [ 19/155] Installing bash-0:5.2.32-1.fc 100% | 307.9 MiB/s | 8.3 MiB | 00m00s >>> Running post-install scriptlet: bash-0:5.2.32-1.fc41.aarch64 >>> Stop post-install scriptlet: bash-0:5.2.32-1.fc41.aarch64 [ 20/155] Installing glibc-common-0:2.4 100% | 285.6 MiB/s | 2.6 MiB | 00m00s warning: posix.fork(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.execute() instead warning: posix.wait(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.execute() instead warning: posix.exec(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.execute() instead [ 21/155] Installing glibc-gconv-extra- 100% | 547.3 MiB/s | 49.3 MiB | 00m00s >>> Running post-install scriptlet: glibc-gconv-extra-0:2.40-3.fc41.aarch64 >>> Stop post-install scriptlet: glibc-gconv-extra-0:2.40-3.fc41.aarch64 [ 22/155] Installing zlib-ng-compat-0:2 100% | 256.4 MiB/s | 262.6 KiB | 00m00s [ 23/155] Installing bzip2-libs-0:1.0.8 100% | 197.1 MiB/s | 201.9 KiB | 00m00s [ 24/155] Installing xz-libs-1:5.6.2-2. 100% | 261.2 MiB/s | 267.5 KiB | 00m00s [ 25/155] Installing popt-0:1.19-7.fc41 100% | 91.0 MiB/s | 279.5 KiB | 00m00s [ 26/155] Installing readline-0:8.2-10. 100% | 245.9 MiB/s | 755.5 KiB | 00m00s [ 27/155] Installing libuuid-0:2.40.2-4 100% | 193.9 MiB/s | 198.5 KiB | 00m00s [ 28/155] Installing libblkid-0:2.40.2- 100% | 204.9 MiB/s | 419.6 KiB | 00m00s [ 29/155] Installing gmp-1:6.3.0-2.fc41 100% | 235.8 MiB/s | 724.2 KiB | 00m00s [ 30/155] Installing libattr-0:2.5.2-4. 100% | 192.9 MiB/s | 197.5 KiB | 00m00s [ 31/155] Installing libacl-0:2.3.2-2.f 100% | 192.3 MiB/s | 196.9 KiB | 00m00s [ 32/155] Installing libxcrypt-0:4.4.36 100% | 196.1 MiB/s | 401.7 KiB | 00m00s [ 33/155] Installing libstdc++-0:14.2.1 100% | 308.2 MiB/s | 2.8 MiB | 00m00s [ 34/155] Installing libzstd-0:1.5.6-2. 100% | 259.5 MiB/s | 797.3 KiB | 00m00s [ 35/155] Installing elfutils-libelf-0: 100% | 328.5 MiB/s | 1.3 MiB | 00m00s [ 36/155] Installing libeconf-0:0.6.2-3 100% | 202.9 MiB/s | 207.8 KiB | 00m00s [ 37/155] Installing gdbm-libs-1:1.23-7 100% | 417.7 MiB/s | 427.7 KiB | 00m00s [ 38/155] Installing dwz-0:0.15-7.fc41. 100% | 189.5 MiB/s | 388.1 KiB | 00m00s [ 39/155] Installing mpfr-0:4.2.1-5.fc4 100% | 267.1 MiB/s | 820.5 KiB | 00m00s [ 40/155] Installing gawk-0:5.3.0-4.fc4 100% | 387.6 MiB/s | 4.3 MiB | 00m00s [ 41/155] Installing unzip-0:6.0-64.fc4 100% | 237.7 MiB/s | 730.2 KiB | 00m00s [ 42/155] Installing file-libs-0:5.45-7 100% | 556.9 MiB/s | 10.0 MiB | 00m00s [ 43/155] Installing file-0:5.45-7.fc41 100% | 37.5 MiB/s | 269.0 KiB | 00m00s >>> Running pre-install scriptlet: crypto-policies-0:20240826-1.gite824389.fc41. >>> Stop pre-install scriptlet: crypto-policies-0:20240826-1.gite824389.fc41.noa [ 44/155] Installing crypto-policies-0: 100% | 19.9 MiB/s | 163.2 KiB | 00m00s >>> Running post-install scriptlet: crypto-policies-0:20240826-1.gite824389.fc41 >>> Stop post-install scriptlet: crypto-policies-0:20240826-1.gite824389.fc41.no [ 45/155] Installing pcre2-0:10.44-1.fc 100% | 295.2 MiB/s | 906.9 KiB | 00m00s [ 46/155] Installing grep-0:3.11-9.fc41 100% | 156.7 MiB/s | 1.1 MiB | 00m00s [ 47/155] Installing xz-1:5.6.2-2.fc41. 100% | 185.3 MiB/s | 1.5 MiB | 00m00s [ 48/155] Installing libcap-ng-0:0.8.5- 100% | 409.3 MiB/s | 419.1 KiB | 00m00s [ 49/155] Installing audit-libs-0:4.0.2 100% | 268.3 MiB/s | 549.6 KiB | 00m00s [ 50/155] Installing pam-libs-0:1.6.1-5 100% | 297.6 MiB/s | 609.5 KiB | 00m00s [ 51/155] Installing libcap-0:2.70-4.fc 100% | 344.0 MiB/s | 1.4 MiB | 00m00s [ 52/155] Installing systemd-libs-0:256 100% | 315.1 MiB/s | 2.5 MiB | 00m00s [ 53/155] Installing libsmartcols-0:2.4 100% | 282.7 MiB/s | 289.5 KiB | 00m00s [ 54/155] Installing libsepol-0:3.7-2.f 100% | 284.8 MiB/s | 874.9 KiB | 00m00s [ 55/155] Installing libselinux-0:3.7-5 100% | 260.1 MiB/s | 266.3 KiB | 00m00s [ 56/155] Installing sed-0:4.9-3.fc41.a 100% | 164.3 MiB/s | 1.0 MiB | 00m00s [ 57/155] Installing findutils-1:4.10.0 100% | 263.5 MiB/s | 2.1 MiB | 00m00s [ 58/155] Installing libmount-0:2.40.2- 100% | 236.8 MiB/s | 485.1 KiB | 00m00s [ 59/155] Installing alternatives-0:1.3 100% | 214.7 MiB/s | 219.9 KiB | 00m00s [ 60/155] Installing lz4-libs-0:1.10.0- 100% | 256.5 MiB/s | 262.7 KiB | 00m00s [ 61/155] Installing lua-libs-0:5.4.6-6 100% | 192.5 MiB/s | 394.3 KiB | 00m00s [ 62/155] Installing libcom_err-0:1.47. 100% | 234.8 MiB/s | 240.4 KiB | 00m00s [ 63/155] Installing libtasn1-0:4.19.0- 100% | 278.9 MiB/s | 285.6 KiB | 00m00s [ 64/155] Installing libunistring-0:1.1 100% | 301.5 MiB/s | 1.8 MiB | 00m00s [ 65/155] Installing libidn2-0:2.3.7-2. 100% | 113.1 MiB/s | 463.1 KiB | 00m00s [ 66/155] Installing libpsl-0:0.21.5-4. 100% | 193.1 MiB/s | 197.7 KiB | 00m00s [ 67/155] Installing zstd-0:1.5.6-2.fc4 100% | 281.8 MiB/s | 1.7 MiB | 00m00s [ 68/155] Installing util-linux-core-0: 100% | 413.5 MiB/s | 6.2 MiB | 00m00s [ 69/155] Installing tar-2:1.35-4.fc41. 100% | 278.8 MiB/s | 3.1 MiB | 00m00s [ 70/155] Installing libsemanage-0:3.7- 100% | 118.3 MiB/s | 363.3 KiB | 00m00s [ 71/155] Installing shadow-utils-2:4.1 100% | 189.2 MiB/s | 7.4 MiB | 00m00s >>> Running pre-install scriptlet: libutempter-0:1.2.1-15.fc41.aarch64 >>> Stop pre-install scriptlet: libutempter-0:1.2.1-15.fc41.aarch64 [ 72/155] Installing libutempter-0:1.2. 100% | 205.0 MiB/s | 419.8 KiB | 00m00s [ 73/155] Installing zip-0:3.0-41.fc41. 100% | 281.0 MiB/s | 1.1 MiB | 00m00s [ 74/155] Installing gdbm-1:1.23-7.fc41 100% | 227.9 MiB/s | 933.4 KiB | 00m00s [ 75/155] Installing cyrus-sasl-lib-0:2 100% | 310.7 MiB/s | 3.1 MiB | 00m00s [ 76/155] Installing libfdisk-0:2.40.2- 100% | 236.3 MiB/s | 483.9 KiB | 00m00s [ 77/155] Installing libxml2-0:2.12.8-2 100% | 306.0 MiB/s | 2.1 MiB | 00m00s [ 78/155] Installing bzip2-0:1.0.8-19.f 100% | 211.0 MiB/s | 432.2 KiB | 00m00s [ 79/155] Installing add-determinism-0: 100% | 290.5 MiB/s | 2.0 MiB | 00m00s [ 80/155] Installing build-reproducibil 100% | 0.0 B/s | 1.0 KiB | 00m00s [ 81/155] Installing sqlite-libs-0:3.46 100% | 311.7 MiB/s | 1.6 MiB | 00m00s [ 82/155] Installing ed-0:1.20.2-2.fc41 100% | 139.2 MiB/s | 285.1 KiB | 00m00s [ 83/155] Installing patch-0:2.7.6-25.f 100% | 191.5 MiB/s | 392.1 KiB | 00m00s [ 84/155] Installing elfutils-default-y 100% | 408.6 KiB/s | 2.0 KiB | 00m00s >>> Running post-install scriptlet: elfutils-default-yama-scope-0:0.191-8.fc41.n >>> Stop post-install scriptlet: elfutils-default-yama-scope-0:0.191-8.fc41.noar [ 85/155] Installing elfutils-libs-0:0. 100% | 229.5 MiB/s | 940.2 KiB | 00m00s [ 86/155] Installing cpio-0:2.15-2.fc41 100% | 203.4 MiB/s | 1.2 MiB | 00m00s [ 87/155] Installing diffutils-0:3.10-8 100% | 263.7 MiB/s | 2.1 MiB | 00m00s [ 88/155] Installing jansson-0:2.13.1-1 100% | 216.7 MiB/s | 221.9 KiB | 00m00s [ 89/155] Installing libgomp-0:14.2.1-3 100% | 277.6 MiB/s | 568.5 KiB | 00m00s [ 90/155] Installing libpkgconf-0:2.3.0 100% | 194.6 MiB/s | 199.2 KiB | 00m00s [ 91/155] Installing pkgconf-0:2.3.0-1. 100% | 118.7 MiB/s | 243.1 KiB | 00m00s [ 92/155] Installing libffi-0:3.4.6-3.f 100% | 277.2 MiB/s | 283.8 KiB | 00m00s [ 93/155] Installing p11-kit-0:0.25.5-3 100% | 220.5 MiB/s | 2.6 MiB | 00m00s [ 94/155] Installing p11-kit-trust-0:0. 100% | 71.3 MiB/s | 657.4 KiB | 00m00s >>> Running post-install scriptlet: p11-kit-trust-0:0.25.5-3.fc41.aarch64 >>> Stop post-install scriptlet: p11-kit-trust-0:0.25.5-3.fc41.aarch64 [ 95/155] Installing keyutils-libs-0:1. 100% | 111.3 MiB/s | 227.9 KiB | 00m00s [ 96/155] Installing libverto-0:0.3.2-9 100% | 194.7 MiB/s | 199.3 KiB | 00m00s [ 97/155] Installing xxhash-libs-0:0.8. 100% | 208.7 MiB/s | 213.7 KiB | 00m00s [ 98/155] Installing libbrotli-0:1.1.0- 100% | 228.1 MiB/s | 1.1 MiB | 00m00s [ 99/155] Installing libnghttp2-0:1.62. 100% | 257.2 MiB/s | 263.3 KiB | 00m00s [100/155] Installing libtool-ltdl-0:2.4 100% | 218.1 MiB/s | 223.4 KiB | 00m00s [101/155] Installing pkgconf-m4-0:2.3.0 100% | 0.0 B/s | 14.8 KiB | 00m00s [102/155] Installing pkgconf-pkg-config 100% | 1.7 MiB/s | 1.8 KiB | 00m00s [103/155] Installing coreutils-common-0 100% | 302.4 MiB/s | 11.2 MiB | 00m00s [104/155] Installing openssl-libs-1:3.2 100% | 343.4 MiB/s | 7.2 MiB | 00m00s [105/155] Installing coreutils-0:9.5-9. 100% | 483.7 MiB/s | 20.8 MiB | 00m00s >>> Running pre-install scriptlet: ca-certificates-0:2024.2.68_v8.0.302-3.fc41.n >>> Stop pre-install scriptlet: ca-certificates-0:2024.2.68_v8.0.302-3.fc41.noar [106/155] Installing ca-certificates-0: 100% | 2.4 MiB/s | 2.4 MiB | 00m01s >>> Running post-install scriptlet: ca-certificates-0:2024.2.68_v8.0.302-3.fc41. >>> Stop post-install scriptlet: ca-certificates-0:2024.2.68_v8.0.302-3.fc41.noa [107/155] Installing krb5-libs-0:1.21.3 100% | 278.8 MiB/s | 3.3 MiB | 00m00s [108/155] Installing libarchive-0:3.7.4 100% | 238.4 MiB/s | 976.6 KiB | 00m00s [109/155] Installing libtirpc-0:1.3.5-0 100% | 135.0 MiB/s | 276.5 KiB | 00m00s [110/155] Installing gzip-0:1.13-2.fc41 100% | 160.9 MiB/s | 494.4 KiB | 00m00s [111/155] Installing authselect-libs-0: 100% | 132.1 MiB/s | 946.8 KiB | 00m00s [112/155] Installing cracklib-0:2.9.11- 100% | 154.0 MiB/s | 946.3 KiB | 00m00s [113/155] Installing libpwquality-0:1.4 100% | 158.2 MiB/s | 1.1 MiB | 00m00s [114/155] Installing libnsl2-0:2.0.1-2. 100% | 109.0 MiB/s | 223.2 KiB | 00m00s [115/155] Installing pam-0:1.6.1-5.fc41 100% | 367.9 MiB/s | 11.0 MiB | 00m00s [116/155] Installing libssh-0:0.10.6-8. 100% | 284.9 MiB/s | 583.4 KiB | 00m00s [117/155] Installing rpm-sequoia-0:1.7. 100% | 287.1 MiB/s | 2.3 MiB | 00m00s [118/155] Installing rpm-libs-0:4.19.92 100% | 260.2 MiB/s | 799.4 KiB | 00m00s [119/155] Installing rpm-build-libs-0:4 100% | 257.4 MiB/s | 263.6 KiB | 00m00s [120/155] Installing libevent-0:2.1.12- 100% | 380.8 MiB/s | 1.5 MiB | 00m00s [121/155] Installing openldap-0:2.6.8-5 100% | 233.4 MiB/s | 956.1 KiB | 00m00s [122/155] Installing libcurl-0:8.9.1-2. 100% | 279.7 MiB/s | 859.3 KiB | 00m00s [123/155] Installing elfutils-debuginfo 100% | 194.8 MiB/s | 398.9 KiB | 00m00s [124/155] Installing binutils-0:2.43-3. 100% | 367.3 MiB/s | 33.1 MiB | 00m00s >>> Running post-install scriptlet: binutils-0:2.43-3.fc41.aarch64 >>> Stop post-install scriptlet: binutils-0:2.43-3.fc41.aarch64 [125/155] Installing elfutils-0:0.191-8 100% | 381.1 MiB/s | 5.0 MiB | 00m00s [126/155] Installing gdb-minimal-0:15.1 100% | 338.5 MiB/s | 11.8 MiB | 00m00s [127/155] Installing debugedit-0:5.0-17 100% | 245.1 MiB/s | 502.0 KiB | 00m00s [128/155] Installing curl-0:8.9.1-2.fc4 100% | 75.4 MiB/s | 926.7 KiB | 00m00s >>> Running pre-install scriptlet: rpm-0:4.19.92-6.fc41.aarch64 >>> Stop pre-install scriptlet: rpm-0:4.19.92-6.fc41.aarch64 [129/155] Installing rpm-0:4.19.92-6.fc 100% | 145.7 MiB/s | 3.4 MiB | 00m00s [130/155] Installing efi-srpm-macros-0: 100% | 40.2 MiB/s | 41.2 KiB | 00m00s [131/155] Installing lua-srpm-macros-0: 100% | 0.0 B/s | 1.9 KiB | 00m00s [132/155] Installing zig-srpm-macros-0: 100% | 0.0 B/s | 1.7 KiB | 00m00s [133/155] Installing rust-srpm-macros-0 100% | 0.0 B/s | 5.6 KiB | 00m00s [134/155] Installing qt6-srpm-macros-0: 100% | 0.0 B/s | 732.0 B | 00m00s [135/155] Installing qt5-srpm-macros-0: 100% | 0.0 B/s | 776.0 B | 00m00s [136/155] Installing perl-srpm-macros-0 100% | 0.0 B/s | 1.1 KiB | 00m00s [137/155] Installing package-notes-srpm 100% | 0.0 B/s | 2.0 KiB | 00m00s [138/155] Installing openblas-srpm-macr 100% | 0.0 B/s | 392.0 B | 00m00s [139/155] Installing ocaml-srpm-macros- 100% | 0.0 B/s | 2.2 KiB | 00m00s [140/155] Installing kernel-srpm-macros 100% | 0.0 B/s | 2.3 KiB | 00m00s [141/155] Installing gnat-srpm-macros-0 100% | 1.2 MiB/s | 1.3 KiB | 00m00s [142/155] Installing ghc-srpm-macros-0: 100% | 0.0 B/s | 1.0 KiB | 00m00s [143/155] Installing fpc-srpm-macros-0: 100% | 0.0 B/s | 420.0 B | 00m00s [144/155] Installing ansible-srpm-macro 100% | 0.0 B/s | 36.2 KiB | 00m00s [145/155] Installing fonts-srpm-macros- 100% | 55.7 MiB/s | 57.0 KiB | 00m00s [146/155] Installing forge-srpm-macros- 100% | 39.4 MiB/s | 40.4 KiB | 00m00s [147/155] Installing go-srpm-macros-0:3 100% | 60.5 MiB/s | 62.0 KiB | 00m00s [148/155] Installing python-srpm-macros 100% | 50.9 MiB/s | 52.2 KiB | 00m00s [149/155] Installing redhat-rpm-config- 100% | 61.9 MiB/s | 190.1 KiB | 00m00s [150/155] Installing rpm-build-0:4.19.9 100% | 349.2 MiB/s | 1.4 MiB | 00m00s [151/155] Installing pyproject-srpm-mac 100% | 1.2 MiB/s | 2.5 KiB | 00m00s [152/155] Installing util-linux-0:2.40. 100% | 373.2 MiB/s | 17.5 MiB | 00m00s >>> Running post-install scriptlet: util-linux-0:2.40.2-4.fc41.aarch64 >>> Stop post-install scriptlet: util-linux-0:2.40.2-4.fc41.aarch64 [153/155] Installing authselect-0:1.5.0 100% | 102.2 MiB/s | 313.9 KiB | 00m00s [154/155] Installing which-0:2.21-42.fc 100% | 122.2 MiB/s | 250.4 KiB | 00m00s warning: posix.fork(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.execute() instead warning: posix.wait(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.execute() instead warning: posix.exec(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.execute() instead [155/155] Installing info-0:7.1-3.fc41. 100% | 488.9 KiB/s | 614.0 KiB | 00m01s >>> Running post-transaction scriptlet: filesystem-0:3.18-23.fc41.aarch64 >>> Stop post-transaction scriptlet: filesystem-0:3.18-23.fc41.aarch64 >>> Running post-transaction scriptlet: ca-certificates-0:2024.2.68_v8.0.302-3.f >>> Stop post-transaction scriptlet: ca-certificates-0:2024.2.68_v8.0.302-3.fc41 >>> Running post-transaction scriptlet: authselect-libs-0:1.5.0-7.fc41.aarch64 >>> Stop post-transaction scriptlet: authselect-libs-0:1.5.0-7.fc41.aarch64 >>> Running post-transaction scriptlet: rpm-0:4.19.92-6.fc41.aarch64 >>> Stop post-transaction scriptlet: rpm-0:4.19.92-6.fc41.aarch64 >>> Running trigger-install scriptlet: glibc-common-0:2.40-3.fc41.aarch64 >>> Stop trigger-install scriptlet: glibc-common-0:2.40-3.fc41.aarch64 >>> Running trigger-install scriptlet: info-0:7.1-3.fc41.aarch64 >>> Stop trigger-install scriptlet: info-0:7.1-3.fc41.aarch64 Complete! Finish: installing minimal buildroot with dnf5 Start: creating root cache Finish: creating root cache Finish: chroot init INFO: Installed packages: INFO: add-determinism-0.3.6-1.fc41.aarch64 alternatives-1.30-1.fc41.aarch64 ansible-srpm-macros-1-16.fc41.noarch audit-libs-4.0.2-1.fc41.aarch64 authselect-1.5.0-7.fc41.aarch64 authselect-libs-1.5.0-7.fc41.aarch64 basesystem-11-21.fc41.noarch bash-5.2.32-1.fc41.aarch64 binutils-2.43-3.fc41.aarch64 build-reproducibility-srpm-macros-0.3.6-1.fc41.noarch bzip2-1.0.8-19.fc41.aarch64 bzip2-libs-1.0.8-19.fc41.aarch64 ca-certificates-2024.2.68_v8.0.302-3.fc41.noarch coreutils-9.5-9.fc41.aarch64 coreutils-common-9.5-9.fc41.aarch64 cpio-2.15-2.fc41.aarch64 cracklib-2.9.11-6.fc41.aarch64 crypto-policies-20240826-1.gite824389.fc41.noarch curl-8.9.1-2.fc41.aarch64 cyrus-sasl-lib-2.1.28-27.fc41.aarch64 debugedit-5.0-17.fc41.aarch64 diffutils-3.10-8.fc41.aarch64 dwz-0.15-7.fc41.aarch64 ed-1.20.2-2.fc41.aarch64 efi-srpm-macros-5-12.fc41.noarch elfutils-0.191-8.fc41.aarch64 elfutils-debuginfod-client-0.191-8.fc41.aarch64 elfutils-default-yama-scope-0.191-8.fc41.noarch elfutils-libelf-0.191-8.fc41.aarch64 elfutils-libs-0.191-8.fc41.aarch64 fedora-gpg-keys-41-0.5.noarch fedora-release-41-0.21.noarch fedora-release-common-41-0.21.noarch fedora-release-identity-basic-41-0.21.noarch fedora-repos-41-0.5.noarch file-5.45-7.fc41.aarch64 file-libs-5.45-7.fc41.aarch64 filesystem-3.18-23.fc41.aarch64 findutils-4.10.0-4.fc41.aarch64 fonts-srpm-macros-2.0.5-17.fc41.noarch forge-srpm-macros-0.3.2-1.fc41.noarch fpc-srpm-macros-1.3-13.fc41.noarch gawk-5.3.0-4.fc41.aarch64 gdb-minimal-15.1-1.fc41.aarch64 gdbm-1.23-7.fc41.aarch64 gdbm-libs-1.23-7.fc41.aarch64 ghc-srpm-macros-1.9.1-2.fc41.noarch glibc-2.40-3.fc41.aarch64 glibc-common-2.40-3.fc41.aarch64 glibc-gconv-extra-2.40-3.fc41.aarch64 glibc-minimal-langpack-2.40-3.fc41.aarch64 gmp-6.3.0-2.fc41.aarch64 gnat-srpm-macros-6-6.fc41.noarch go-srpm-macros-3.6.0-3.fc41.noarch gpg-pubkey-e99d6ad1-64d2612c grep-3.11-9.fc41.aarch64 gzip-1.13-2.fc41.aarch64 info-7.1-3.fc41.aarch64 jansson-2.13.1-10.fc41.aarch64 kernel-srpm-macros-1.0-24.fc41.noarch keyutils-libs-1.6.3-4.fc41.aarch64 krb5-libs-1.21.3-2.fc41.aarch64 libacl-2.3.2-2.fc41.aarch64 libarchive-3.7.4-3.fc41.aarch64 libattr-2.5.2-4.fc41.aarch64 libblkid-2.40.2-4.fc41.aarch64 libbrotli-1.1.0-5.fc41.aarch64 libcap-2.70-4.fc41.aarch64 libcap-ng-0.8.5-3.fc41.aarch64 libcom_err-1.47.1-3.fc41.aarch64 libcurl-8.9.1-2.fc41.aarch64 libeconf-0.6.2-3.fc41.aarch64 libevent-2.1.12-14.fc41.aarch64 libfdisk-2.40.2-4.fc41.aarch64 libffi-3.4.6-3.fc41.aarch64 libgcc-14.2.1-3.fc41.aarch64 libgomp-14.2.1-3.fc41.aarch64 libidn2-2.3.7-2.fc41.aarch64 libmount-2.40.2-4.fc41.aarch64 libnghttp2-1.62.1-2.fc41.aarch64 libnsl2-2.0.1-2.fc41.aarch64 libpkgconf-2.3.0-1.fc41.aarch64 libpsl-0.21.5-4.fc41.aarch64 libpwquality-1.4.5-11.fc41.aarch64 libselinux-3.7-5.fc41.aarch64 libsemanage-3.7-2.fc41.aarch64 libsepol-3.7-2.fc41.aarch64 libsmartcols-2.40.2-4.fc41.aarch64 libssh-0.10.6-8.fc41.aarch64 libssh-config-0.10.6-8.fc41.noarch libstdc++-14.2.1-3.fc41.aarch64 libtasn1-4.19.0-9.fc41.aarch64 libtirpc-1.3.5-0.fc41.aarch64 libtool-ltdl-2.4.7-12.fc41.aarch64 libunistring-1.1-8.fc41.aarch64 libutempter-1.2.1-15.fc41.aarch64 libuuid-2.40.2-4.fc41.aarch64 libverto-0.3.2-9.fc41.aarch64 libxcrypt-4.4.36-7.fc41.aarch64 libxml2-2.12.8-2.fc41.aarch64 libzstd-1.5.6-2.fc41.aarch64 lua-libs-5.4.6-6.fc41.aarch64 lua-srpm-macros-1-14.fc41.noarch lz4-libs-1.10.0-1.fc41.aarch64 mpfr-4.2.1-5.fc41.aarch64 ncurses-base-6.5-2.20240629.fc41.noarch ncurses-libs-6.5-2.20240629.fc41.aarch64 ocaml-srpm-macros-10-3.fc41.noarch openblas-srpm-macros-2-18.fc41.noarch openldap-2.6.8-5.fc41.aarch64 openssl-libs-3.2.2-5.fc41.aarch64 p11-kit-0.25.5-3.fc41.aarch64 p11-kit-trust-0.25.5-3.fc41.aarch64 package-notes-srpm-macros-0.5-12.fc41.noarch pam-1.6.1-5.fc41.aarch64 pam-libs-1.6.1-5.fc41.aarch64 patch-2.7.6-25.fc41.aarch64 pcre2-10.44-1.fc41.1.aarch64 pcre2-syntax-10.44-1.fc41.1.noarch perl-srpm-macros-1-56.fc41.noarch pkgconf-2.3.0-1.fc41.aarch64 pkgconf-m4-2.3.0-1.fc41.noarch pkgconf-pkg-config-2.3.0-1.fc41.aarch64 popt-1.19-7.fc41.aarch64 publicsuffix-list-dafsa-20240107-4.fc41.noarch pyproject-srpm-macros-1.14.0-1.fc41.noarch python-srpm-macros-3.13-3.fc41.noarch qt5-srpm-macros-5.15.15-1.fc41.noarch qt6-srpm-macros-6.7.2-3.fc41.noarch readline-8.2-10.fc41.aarch64 redhat-rpm-config-293-1.fc41.noarch rpm-4.19.92-6.fc41.aarch64 rpm-build-4.19.92-6.fc41.aarch64 rpm-build-libs-4.19.92-6.fc41.aarch64 rpm-libs-4.19.92-6.fc41.aarch64 rpm-sequoia-1.7.0-2.fc41.aarch64 rust-srpm-macros-26.3-3.fc41.noarch sed-4.9-3.fc41.aarch64 setup-2.15.0-5.fc41.noarch shadow-utils-4.15.1-9.fc41.aarch64 sqlite-libs-3.46.1-1.fc41.aarch64 systemd-libs-256.5-1.fc41.aarch64 tar-1.35-4.fc41.aarch64 unzip-6.0-64.fc41.aarch64 util-linux-2.40.2-4.fc41.aarch64 util-linux-core-2.40.2-4.fc41.aarch64 which-2.21-42.fc41.aarch64 xxhash-libs-0.8.2-3.fc41.aarch64 xz-5.6.2-2.fc41.aarch64 xz-libs-5.6.2-2.fc41.aarch64 zig-srpm-macros-1-3.fc41.noarch zip-3.0-41.fc41.aarch64 zlib-ng-compat-2.1.7-2.fc41.aarch64 zstd-1.5.6-2.fc41.aarch64 Start: buildsrpm Start: rpmbuild -bs Building target platforms: aarch64 Building for target aarch64 setting SOURCE_DATE_EPOCH=1706745600 Wrote: /builddir/build/SRPMS/aida-x-1.1.0-1.fc41.src.rpm Finish: rpmbuild -bs cp: preserving permissions for ‘/var/lib/copr-rpmbuild/results/chroot_scan/var/lib/mock/fedora-41-aarch64-1726628159.900738/root/var/log’: No such file or directory INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-41-aarch64-1726628159.900738/root/var/log/dnf5.log Finish: buildsrpm INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-gkgc14jm/aida-x/aidax.spec) Config(child) 0 minutes 13 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.fc41.src.rpm) Config(fedora-41-aarch64) Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-41-aarch64-bootstrap-1726628159.900738/root. INFO: reusing tmpfs at /var/lib/mock/fedora-41-aarch64-bootstrap-1726628159.900738/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-41-aarch64-1726628159.900738/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-4.19.92-6.fc41.aarch64 rpm-sequoia-1.7.0-2.fc41.aarch64 dnf5-5.2.5.0-2.fc41.aarch64 dnf5-plugins-5.2.5.0-2.fc41.aarch64 Finish: chroot init Start: build phase for aida-x-1.1.0-1.fc41.src.rpm Start: build setup for aida-x-1.1.0-1.fc41.src.rpm Building target platforms: aarch64 Building for target aarch64 setting SOURCE_DATE_EPOCH=1706745600 Wrote: /builddir/build/SRPMS/aida-x-1.1.0-1.fc41.src.rpm Updating and loading repositories: updates 100% | 152.1 KiB/s | 14.6 KiB | 00m00s fedora 100% | 63.8 KiB/s | 10.3 KiB | 00m00s Copr repository 100% | 117.6 KiB/s | 1.5 KiB | 00m00s Additional repo https_download1_rpmfus 100% | 12.3 KiB/s | 3.7 KiB | 00m00s Additional repo https_codecs_fedorapro 100% | 10.6 KiB/s | 2.3 KiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing: SDL2-devel aarch64 2.30.3-2.fc41 fedora 2.7 MiB alsa-lib-devel aarch64 1.2.12-2.fc41 fedora 15.2 MiB cmake aarch64 3.28.3-7.fc41 fedora 28.0 MiB dbus-devel aarch64 1:1.14.10-4.fc41 fedora 129.9 KiB fftw-devel aarch64 3.3.10-13.fc41 fedora 283.0 KiB gcc aarch64 14.2.1-3.fc41 fedora 93.8 MiB gcc-c++ aarch64 14.2.1-3.fc41 fedora 35.0 MiB liblo-devel aarch64 0.32-2.fc41 fedora 1.9 MiB lv2-devel aarch64 1.18.8-9.fc41 fedora 711.8 KiB mesa-libGL-devel aarch64 24.2.2-1.fc41 fedora 80.9 KiB pulseaudio-libs-devel aarch64 17.0-2.fc41 fedora 4.9 MiB Installing dependencies: SDL2 aarch64 2.30.3-2.fc41 fedora 1.9 MiB abattis-cantarell-vf-fonts noarch 0.301-13.fc41 fedora 192.7 KiB adwaita-cursor-theme noarch 47~beta-1.fc41 fedora 10.0 MiB adwaita-icon-theme noarch 47~beta-1.fc41 fedora 1.2 MiB adwaita-icon-theme-legacy noarch 46.2-2.fc41 fedora 2.1 MiB alsa-lib aarch64 1.2.12-2.fc41 fedora 1.8 MiB annobin-docs noarch 12.69-1.fc41 fedora 97.7 KiB annobin-plugin-gcc aarch64 12.69-1.fc41 fedora 1.1 MiB at-spi2-atk aarch64 2.53.1-2.fc41 fedora 551.5 KiB at-spi2-core aarch64 2.53.1-2.fc41 fedora 1.9 MiB atk aarch64 2.53.1-2.fc41 fedora 360.9 KiB avahi-glib aarch64 0.8-29.fc41 fedora 195.7 KiB avahi-libs aarch64 0.8-29.fc41 fedora 614.5 KiB cairo aarch64 1.18.0-4.fc41 fedora 1.9 MiB cairo-gobject aarch64 1.18.0-4.fc41 fedora 195.3 KiB cmake-data noarch 3.28.3-7.fc41 fedora 8.0 MiB cmake-filesystem aarch64 3.28.3-7.fc41 fedora 0.0 B cmake-rpm-macros noarch 3.28.3-7.fc41 fedora 7.5 KiB colord-libs aarch64 1.4.7-5.fc41 fedora 1.3 MiB cpp aarch64 14.2.1-3.fc41 fedora 31.8 MiB cups-libs aarch64 1:2.4.10-6.fc41 fedora 859.1 KiB dbus aarch64 1:1.14.10-4.fc41 fedora 0.0 B dbus-broker aarch64 36-4.fc41 fedora 614.3 KiB dbus-common noarch 1:1.14.10-4.fc41 fedora 11.2 KiB dbus-libs aarch64 1:1.14.10-4.fc41 fedora 489.1 KiB default-fonts-core-sans noarch 4.1-2.fc41 fedora 11.9 KiB emacs-filesystem noarch 1:30.0-3.fc41 fedora 0.0 B expat aarch64 2.6.2-2.fc41 fedora 536.9 KiB fftw aarch64 3.3.10-13.fc41 fedora 605.8 KiB fftw-libs aarch64 3.3.10-13.fc41 fedora 0.0 B fftw-libs-double aarch64 3.3.10-13.fc41 fedora 2.3 MiB fftw-libs-long aarch64 3.3.10-13.fc41 fedora 2.7 MiB fftw-libs-single aarch64 3.3.10-13.fc41 fedora 2.4 MiB flac-libs aarch64 1.4.3-5.fc41 fedora 742.0 KiB fontconfig aarch64 2.15.0-8.fc41 fedora 2.4 MiB fonts-filesystem noarch 1:2.0.5-17.fc41 fedora 0.0 B freetype aarch64 2.13.2-6.fc41 fedora 943.1 KiB fribidi aarch64 1.0.15-2.fc41 fedora 676.4 KiB gcc-plugin-annobin aarch64 14.2.1-3.fc41 fedora 197.1 KiB gdk-pixbuf2 aarch64 2.42.12-6.fc41 fedora 2.9 MiB gdk-pixbuf2-modules aarch64 2.42.12-6.fc41 fedora 391.8 KiB glib2 aarch64 2.82.0-1.fc41 fedora 16.6 MiB glib2-devel aarch64 2.82.0-1.fc41 fedora 16.7 MiB glibc-devel aarch64 2.40-3.fc41 fedora 2.2 MiB gnutls aarch64 3.8.6-7.fc41 fedora 3.4 MiB google-noto-fonts-common noarch 20240701-2.fc41 fedora 17.5 KiB google-noto-sans-vf-fonts noarch 20240701-2.fc41 fedora 1.2 MiB graphite2 aarch64 1.3.14-16.fc41 fedora 495.9 KiB gsm aarch64 1.0.22-7.fc41 fedora 204.8 KiB gtk-update-icon-cache aarch64 3.24.43-2.fc41 fedora 222.3 KiB gtk3 aarch64 3.24.43-2.fc41 fedora 24.1 MiB harfbuzz aarch64 9.0.0-3.fc41 fedora 2.8 MiB hicolor-icon-theme noarch 0.17-19.fc41 fedora 72.2 KiB hwdata noarch 0.385-1.fc41 fedora 9.2 MiB jbigkit-libs aarch64 2.1-30.fc41 fedora 437.7 KiB json-glib aarch64 1.9.2-2.fc41 fedora 643.2 KiB jsoncpp aarch64 1.9.5-8.fc41 fedora 335.7 KiB kernel-headers aarch64 6.11.0-63.fc41 fedora 6.3 MiB lame-libs aarch64 3.100-18.fc41 fedora 1.3 MiB lcms2 aarch64 2.16-4.fc41 fedora 484.9 KiB libX11 aarch64 1.8.10-2.fc41 fedora 1.3 MiB libX11-common noarch 1.8.10-2.fc41 fedora 1.1 MiB libX11-devel aarch64 1.8.10-2.fc41 fedora 1.0 MiB libX11-xcb aarch64 1.8.10-2.fc41 fedora 195.1 KiB libXau aarch64 1.0.11-7.fc41 fedora 242.9 KiB libXau-devel aarch64 1.0.11-7.fc41 fedora 6.4 KiB libXcomposite aarch64 0.4.6-4.fc41 fedora 224.6 KiB libXcursor aarch64 1.2.2-2.fc41 fedora 197.6 KiB libXdamage aarch64 1.1.6-4.fc41 fedora 223.8 KiB libXext aarch64 1.3.6-2.fc41 fedora 210.0 KiB libXfixes aarch64 6.0.1-4.fc41 fedora 198.4 KiB libXft aarch64 2.3.8-7.fc41 fedora 256.5 KiB libXi aarch64 1.8.1-6.fc41 fedora 200.7 KiB libXinerama aarch64 1.1.5-7.fc41 fedora 199.1 KiB libXrandr aarch64 1.5.4-4.fc41 fedora 199.8 KiB libXrender aarch64 0.9.11-7.fc41 fedora 198.2 KiB libXtst aarch64 1.2.5-1.fc41 fedora 201.6 KiB libXxf86vm aarch64 1.1.5-7.fc41 fedora 197.4 KiB libasan aarch64 14.2.1-3.fc41 fedora 1.6 MiB libasyncns aarch64 0.8-29.fc41 fedora 227.4 KiB libatomic aarch64 14.2.1-3.fc41 fedora 196.9 KiB libb2 aarch64 0.98.1-12.fc41 fedora 202.2 KiB libblkid-devel aarch64 2.40.2-4.fc41 fedora 44.9 KiB libcloudproviders aarch64 0.3.5-5.fc41 fedora 220.3 KiB libdatrie aarch64 0.2.13-10.fc41 fedora 222.0 KiB libdecor aarch64 0.2.2-4.fc41 fedora 593.6 KiB libdrm aarch64 2.4.123-1.fc41 fedora 1.6 MiB libdrm-devel aarch64 2.4.123-1.fc41 fedora 756.0 KiB libedit aarch64 3.1-53.20240808cvs.fc41 fedora 344.2 KiB libepoxy aarch64 1.5.10-8.fc41 fedora 1.4 MiB libffi-devel aarch64 3.4.6-3.fc41 fedora 29.9 KiB libglvnd aarch64 1:1.7.0-5.fc41 fedora 1.5 MiB libglvnd-core-devel aarch64 1:1.7.0-5.fc41 fedora 40.3 KiB libglvnd-devel aarch64 1:1.7.0-5.fc41 fedora 2.1 MiB libglvnd-egl aarch64 1:1.7.0-5.fc41 fedora 196.9 KiB libglvnd-gles aarch64 1:1.7.0-5.fc41 fedora 650.3 KiB libglvnd-glx aarch64 1:1.7.0-5.fc41 fedora 1.2 MiB libglvnd-opengl aarch64 1:1.7.0-5.fc41 fedora 457.1 KiB libgusb aarch64 0.4.9-2.fc41 fedora 246.0 KiB libicu aarch64 74.2-2.fc41 fedora 35.6 MiB libjpeg-turbo aarch64 3.0.2-3.fc41 fedora 792.5 KiB liblerc aarch64 4.0.0-7.fc41 fedora 610.5 KiB liblo aarch64 0.32-2.fc41 fedora 829.2 KiB libmount-devel aarch64 2.40.2-4.fc41 fedora 63.5 KiB libmpc aarch64 1.3.1-6.fc41 fedora 280.8 KiB libogg aarch64 2:1.3.5-9.fc41 fedora 205.5 KiB libpciaccess aarch64 0.16-13.fc41 fedora 200.7 KiB libpciaccess-devel aarch64 0.16-13.fc41 fedora 15.3 KiB libpng aarch64 2:1.6.40-4.fc41 fedora 333.7 KiB libselinux-devel aarch64 3.7-5.fc41 fedora 126.4 KiB libsepol-devel aarch64 3.7-2.fc41 fedora 120.3 KiB libsndfile aarch64 1.2.2-4.fc41 fedora 690.2 KiB libsoup3 aarch64 3.6.0-1.fc41 fedora 1.2 MiB libstdc++-devel aarch64 14.2.1-3.fc41 fedora 15.1 MiB libthai aarch64 0.1.29-9.fc41 fedora 935.5 KiB libtiff aarch64 4.6.0-6.fc41 fedora 850.2 KiB libtracker-sparql aarch64 3.7.3-3.fc41 fedora 1.5 MiB libubsan aarch64 14.2.1-3.fc41 fedora 539.2 KiB libusb1 aarch64 1.0.27-3.fc41 fedora 242.3 KiB libuv aarch64 1:1.48.0-2.fc41 fedora 654.5 KiB libvorbis aarch64 1:1.3.7-11.fc41 fedora 1.2 MiB libwayland-client aarch64 1.23.0-2.fc41 fedora 198.2 KiB libwayland-cursor aarch64 1.23.0-2.fc41 fedora 209.5 KiB libwayland-egl aarch64 1.23.0-2.fc41 fedora 196.6 KiB libwayland-server aarch64 1.23.0-2.fc41 fedora 198.7 KiB libwebp aarch64 1.4.0-4.fc41 fedora 1.2 MiB libxcb aarch64 1.17.0-2.fc41 fedora 5.0 MiB libxcb-devel aarch64 1.17.0-2.fc41 fedora 2.7 MiB libxcrypt-devel aarch64 4.4.36-7.fc41 fedora 30.3 KiB libxkbcommon aarch64 1.7.0-4.fc41 fedora 596.6 KiB libxshmfence aarch64 1.3.2-4.fc41 fedora 195.5 KiB llvm-libs aarch64 18.1.8-2.fc41 fedora 106.0 MiB lm_sensors-libs aarch64 3.6.0-20.fc41 fedora 221.9 KiB lv2 aarch64 1.18.8-9.fc41 fedora 373.3 KiB make aarch64 1:4.4.1-8.fc41 fedora 1.8 MiB mesa-dri-drivers aarch64 24.2.2-1.fc41 fedora 100.8 MiB mesa-filesystem aarch64 24.2.2-1.fc41 fedora 3.6 KiB mesa-libEGL aarch64 24.2.2-1.fc41 fedora 460.1 KiB mesa-libEGL-devel aarch64 24.2.2-1.fc41 fedora 21.5 KiB mesa-libGL aarch64 24.2.2-1.fc41 fedora 725.9 KiB mesa-libgbm aarch64 24.2.2-1.fc41 fedora 197.3 KiB mesa-libglapi aarch64 24.2.2-1.fc41 fedora 397.0 KiB mpdecimal aarch64 2.5.1-16.fc41 fedora 328.9 KiB mpg123-libs aarch64 1.31.3-5.fc41 fedora 1.0 MiB nettle aarch64 3.10-3.fc41 fedora 956.7 KiB opus aarch64 1.5.2-1.fc41 fedora 519.9 KiB pango aarch64 1.54.0-2.fc41 fedora 1.9 MiB pcre2-devel aarch64 10.44-1.fc41.1 fedora 2.0 MiB pcre2-utf16 aarch64 10.44-1.fc41.1 fedora 645.9 KiB pcre2-utf32 aarch64 10.44-1.fc41.1 fedora 645.8 KiB pixman aarch64 0.43.4-2.fc41 fedora 718.4 KiB pulseaudio-libs aarch64 17.0-2.fc41 fedora 3.9 MiB pulseaudio-libs-glib2 aarch64 17.0-2.fc41 fedora 195.9 KiB python-pip-wheel noarch 24.2-1.fc41 fedora 1.2 MiB python3 aarch64 3.13.0~rc2-1.fc41 fedora 211.8 KiB python3-isodate noarch 0.6.1-13.fc41 fedora 234.2 KiB python3-libs aarch64 3.13.0~rc2-1.fc41 fedora 49.8 MiB python3-markdown noarch 3.6-3.fc41 fedora 683.6 KiB python3-packaging noarch 24.1-2.fc41 fedora 422.3 KiB python3-pyparsing noarch 3.1.2-7.fc41 fedora 1.0 MiB python3-rdflib noarch 7.0.0-5.fc41 fedora 4.2 MiB python3-six noarch 1.16.0-23.fc41 fedora 118.3 KiB rhash aarch64 1.4.4-2.fc41 fedora 586.0 KiB shared-mime-info aarch64 2.3-6.fc41 fedora 5.3 MiB sysprof-capture-devel aarch64 47~beta-1.fc41 fedora 276.4 KiB tzdata noarch 2024a-9.fc41 fedora 1.7 MiB vim-filesystem noarch 2:9.1.719-1.fc41 fedora 40.0 B xkeyboard-config noarch 2.42-2.fc41 fedora 6.5 MiB xml-common noarch 0.6.3-65.fc41 fedora 78.4 KiB xorg-x11-proto-devel noarch 2024.1-3.fc41 fedora 1.7 MiB xprop aarch64 1.2.7-2.fc41 fedora 206.8 KiB zlib-ng-compat-devel aarch64 2.1.7-2.fc41 fedora 106.8 KiB Transaction Summary: Installing: 183 packages Total size of inbound packages is 186 MiB. Need to download 45 MiB. After this operation 744 MiB will be used (install 744 MiB, remove 0 B). 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| 24.9 MiB/s | 204.0 KiB | 00m00s [164/183] graphite2-0:1.3.14-16.fc41.aa 100% | 22.4 MiB/s | 91.7 KiB | 00m00s [165/183] avahi-glib-0:0.8-29.fc41.aarc 100% | 2.1 MiB/s | 15.3 KiB | 00m00s [166/183] json-glib-0:1.9.2-2.fc41.aarc 100% | 22.1 MiB/s | 158.2 KiB | 00m00s [167/183] libsoup3-0:3.6.0-1.fc41.aarch 100% | 34.5 MiB/s | 389.1 KiB | 00m00s [168/183] adwaita-icon-theme-legacy-0:4 100% | 42.0 MiB/s | 2.5 MiB | 00m00s [169/183] libdatrie-0:0.2.13-10.fc41.aa 100% | 6.3 MiB/s | 32.2 KiB | 00m00s [170/183] abattis-cantarell-vf-fonts-0: 100% | 16.8 MiB/s | 120.2 KiB | 00m00s [171/183] google-noto-sans-vf-fonts-0:2 100% | 27.6 MiB/s | 594.1 KiB | 00m00s [172/183] dbus-1:1.14.10-4.fc41.aarch64 100% | 291.7 KiB/s | 7.9 KiB | 00m00s [173/183] libXtst-0:1.2.5-1.fc41.aarch6 100% | 1.1 MiB/s | 20.9 KiB | 00m00s [174/183] xprop-0:1.2.7-2.fc41.aarch64 100% | 4.3 MiB/s | 35.0 KiB | 00m00s [175/183] xkeyboard-config-0:2.42-2.fc4 100% | 9.5 MiB/s | 972.3 KiB | 00m00s [176/183] libusb1-0:1.0.27-3.fc41.aarch 100% | 8.2 MiB/s | 75.7 KiB | 00m00s [177/183] jbigkit-libs-0:2.1-30.fc41.aa 100% | 5.2 MiB/s | 53.2 KiB | 00m00s [178/183] liblerc-0:4.0.0-7.fc41.aarch6 100% | 18.4 MiB/s | 188.0 KiB | 00m00s [179/183] google-noto-fonts-common-0:20 100% | 2.2 MiB/s | 18.0 KiB | 00m00s [180/183] libwebp-0:1.4.0-4.fc41.aarch6 100% | 18.8 MiB/s | 249.6 KiB | 00m00s [181/183] dbus-common-1:1.14.10-4.fc41. 100% | 1.3 MiB/s | 14.7 KiB | 00m00s [182/183] libicu-0:74.2-2.fc41.aarch64 100% | 64.0 MiB/s | 10.3 MiB | 00m00s [183/183] dbus-broker-0:36-4.fc41.aarch 100% | 6.3 MiB/s | 167.3 KiB | 00m00s -------------------------------------------------------------------------------- [183/183] Total 100% | 49.3 MiB/s | 45.1 MiB | 00m01s Running transaction [ 1/185] Verify package files 100% | 279.0 B/s | 183.0 B | 00m01s >>> Running pre-transaction scriptlet: lv2-devel-0:1.18.8-9.fc41.aarch64 >>> Stop pre-transaction scriptlet: lv2-devel-0:1.18.8-9.fc41.aarch64 [ 2/185] Prepare 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Installing libX11-devel-0:1.8 100% | 48.7 MiB/s | 1.1 MiB | 00m00s [132/185] Installing libXtst-0:1.2.5-1. 100% | 198.0 MiB/s | 202.7 KiB | 00m00s [133/185] Installing libXcursor-0:1.2.2 100% | 194.6 MiB/s | 199.2 KiB | 00m00s [134/185] Installing libXdamage-0:1.1.6 100% | 220.1 MiB/s | 225.4 KiB | 00m00s [135/185] Installing cairo-gobject-0:1. 100% | 191.5 MiB/s | 196.1 KiB | 00m00s [136/185] Installing libXrandr-0:1.5.4- 100% | 196.3 MiB/s | 201.0 KiB | 00m00s [137/185] Installing libXft-0:2.3.8-7.f 100% | 252.0 MiB/s | 258.0 KiB | 00m00s [138/185] Installing pango-0:1.54.0-2.f 100% | 318.7 MiB/s | 1.9 MiB | 00m00s [139/185] Installing libXxf86vm-0:1.1.5 100% | 194.0 MiB/s | 198.6 KiB | 00m00s [140/185] Installing libglvnd-glx-1:1.7 100% | 403.3 MiB/s | 1.2 MiB | 00m00s [141/185] Installing mesa-libGL-0:24.2. 100% | 354.9 MiB/s | 726.8 KiB | 00m00s [142/185] Installing libXinerama-0:1.1. 100% | 195.5 MiB/s | 200.2 KiB | 00m00s [143/185] Installing libXcomposite-0:0. 100% | 220.9 MiB/s | 226.2 KiB | 00m00s [144/185] Installing xprop-0:1.2.7-2.fc 100% | 203.3 MiB/s | 208.2 KiB | 00m00s [145/185] Installing at-spi2-core-0:2.5 100% | 145.1 MiB/s | 1.9 MiB | 00m00s [146/185] Installing atk-0:2.53.1-2.fc4 100% | 50.5 MiB/s | 362.3 KiB | 00m00s [147/185] Installing at-spi2-atk-0:2.53 100% | 180.2 MiB/s | 553.5 KiB | 00m00s [148/185] Installing gtk3-0:3.24.43-2.f 100% | 334.9 MiB/s | 24.1 MiB | 00m00s [149/185] Installing libdecor-0:0.2.2-4 100% | 291.1 MiB/s | 596.2 KiB | 00m00s [150/185] Installing SDL2-0:2.30.3-2.fc 100% | 278.1 MiB/s | 1.9 MiB | 00m00s [151/185] Installing libasyncns-0:0.8-2 100% | 223.3 MiB/s | 228.7 KiB | 00m00s [152/185] Installing pulseaudio-libs-0: 100% | 302.9 MiB/s | 3.9 MiB | 00m00s [153/185] Installing pulseaudio-libs-gl 100% | 192.1 MiB/s | 196.7 KiB | 00m00s [154/185] Installing sysprof-capture-de 100% | 272.7 MiB/s | 279.3 KiB | 00m00s [155/185] Installing libffi-devel-0:3.4 100% | 15.3 MiB/s | 31.2 KiB | 00m00s [156/185] Installing glib2-devel-0:2.82 100% | 419.5 MiB/s | 16.8 MiB | 00m00s [157/185] Installing vim-filesystem-2:9 100% | 4.6 MiB/s | 4.7 KiB | 00m00s [158/185] Installing emacs-filesystem-1 100% | 0.0 B/s | 544.0 B | 00m00s [159/185] Installing libglvnd-core-deve 100% | 40.1 MiB/s | 41.1 KiB | 00m00s [160/185] Installing libglvnd-devel-1:1 100% | 424.1 MiB/s | 2.1 MiB | 00m00s [161/185] Installing mesa-libEGL-devel- 100% | 21.6 MiB/s | 22.1 KiB | 00m00s [162/185] Installing lv2-0:1.18.8-9.fc4 100% | 76.2 MiB/s | 390.1 KiB | 00m00s [163/185] Installing liblo-0:0.32-2.fc4 100% | 203.1 MiB/s | 832.0 KiB | 00m00s [164/185] Installing libstdc++-devel-0: 100% | 287.5 MiB/s | 15.2 MiB | 00m00s [165/185] Installing libubsan-0:14.2.1- 100% | 263.7 MiB/s | 540.0 KiB | 00m00s [166/185] Installing libatomic-0:14.2.1 100% | 193.1 MiB/s | 197.8 KiB | 00m00s [167/185] Installing libasan-0:14.2.1-3 100% | 267.1 MiB/s | 1.6 MiB | 00m00s [168/185] Installing gcc-0:14.2.1-3.fc4 100% | 366.4 MiB/s | 93.8 MiB | 00m00s >>> Running trigger-install scriptlet: redhat-rpm-config-0:293-1.fc41.noarch >>> Stop trigger-install scriptlet: redhat-rpm-config-0:293-1.fc41.noarch [169/185] Installing rhash-0:1.4.4-2.fc 100% | 144.4 MiB/s | 591.3 KiB | 00m00s [170/185] Installing libuv-1:1.48.0-2.f 100% | 214.0 MiB/s | 657.3 KiB | 00m00s [171/185] Installing jsoncpp-0:1.9.5-8. 100% | 29.9 MiB/s | 337.3 KiB | 00m00s [172/185] Installing cmake-data-0:3.28. 100% | 80.0 MiB/s | 8.5 MiB | 00m00s [173/185] Installing cmake-0:3.28.3-7.f 100% | 395.1 MiB/s | 28.1 MiB | 00m00s [174/185] Installing alsa-lib-0:1.2.12- 100% | 186.0 MiB/s | 1.9 MiB | 00m00s [175/185] Installing alsa-lib-devel-0:1 100% | 412.3 MiB/s | 15.3 MiB | 00m00s [176/185] Installing gcc-c++-0:14.2.1-3 100% | 336.9 MiB/s | 35.0 MiB | 00m00s [177/185] Installing annobin-plugin-gcc 100% | 68.5 MiB/s | 1.1 MiB | 00m00s >>> Running trigger-install scriptlet: redhat-rpm-config-0:293-1.fc41.noarch >>> Stop trigger-install scriptlet: redhat-rpm-config-0:293-1.fc41.noarch [178/185] Installing gcc-plugin-annobin 100% | 11.4 MiB/s | 198.7 KiB | 00m00s >>> Running trigger-install scriptlet: redhat-rpm-config-0:293-1.fc41.noarch >>> Stop trigger-install scriptlet: redhat-rpm-config-0:293-1.fc41.noarch [179/185] Installing liblo-devel-0:0.32 100% | 217.0 MiB/s | 2.0 MiB | 00m00s [180/185] Installing lv2-devel-0:1.18.8 100% | 72.0 MiB/s | 736.9 KiB | 00m00s [181/185] Installing SDL2-devel-0:2.30. 100% | 300.7 MiB/s | 2.7 MiB | 00m00s [182/185] Installing mesa-libGL-devel-0 100% | 39.8 MiB/s | 81.6 KiB | 00m00s [183/185] Installing pulseaudio-libs-de 100% | 275.0 MiB/s | 4.9 MiB | 00m00s [184/185] Installing fftw-devel-0:3.3.1 100% | 140.7 MiB/s | 288.2 KiB | 00m00s warning: posix.fork(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.execute() instead warning: posix.wait(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.execute() instead warning: posix.exec(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.execute() instead [185/185] Installing dbus-devel-1:1.14. 100% | 261.2 KiB/s | 134.8 KiB | 00m01s >>> Running post-transaction scriptlet: fontconfig-0:2.15.0-8.fc41.aarch64 >>> Stop post-transaction scriptlet: fontconfig-0:2.15.0-8.fc41.aarch64 >>> Running trigger-install scriptlet: glibc-common-0:2.40-3.fc41.aarch64 >>> Stop trigger-install scriptlet: glibc-common-0:2.40-3.fc41.aarch64 >>> Running trigger-install scriptlet: info-0:7.1-3.fc41.aarch64 >>> Stop trigger-install scriptlet: info-0:7.1-3.fc41.aarch64 >>> Running trigger-install scriptlet: adwaita-icon-theme-legacy-0:46.2-2.fc41.n >>> Stop trigger-install scriptlet: adwaita-icon-theme-legacy-0:46.2-2.fc41.noar >>> Running trigger-install scriptlet: adwaita-icon-theme-0:47~beta-1.fc41.noarc >>> Stop trigger-install scriptlet: adwaita-icon-theme-0:47~beta-1.fc41.noarch >>> Running trigger-install scriptlet: hicolor-icon-theme-0:0.17-19.fc41.noarch >>> Stop trigger-install scriptlet: hicolor-icon-theme-0:0.17-19.fc41.noarch >>> Running trigger-install scriptlet: glib2-0:2.82.0-1.fc41.aarch64 >>> Stop trigger-install scriptlet: glib2-0:2.82.0-1.fc41.aarch64 >>> Running trigger-install scriptlet: glib2-0:2.82.0-1.fc41.aarch64 >>> Stop trigger-install scriptlet: glib2-0:2.82.0-1.fc41.aarch64 >>> Running trigger-install scriptlet: fontconfig-0:2.15.0-8.fc41.aarch64 >>> Stop trigger-install scriptlet: fontconfig-0:2.15.0-8.fc41.aarch64 >>> Running trigger-install scriptlet: shared-mime-info-0:2.3-6.fc41.aarch64 >>> Stop trigger-install scriptlet: shared-mime-info-0:2.3-6.fc41.aarch64 >>> Running trigger-install scriptlet: gdk-pixbuf2-0:2.42.12-6.fc41.aarch64 >>> Stop trigger-install scriptlet: gdk-pixbuf2-0:2.42.12-6.fc41.aarch64 Complete! Finish: build setup for aida-x-1.1.0-1.fc41.src.rpm Start: rpmbuild aida-x-1.1.0-1.fc41.src.rpm Building target platforms: aarch64 Building for target aarch64 setting SOURCE_DATE_EPOCH=1706745600 Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.HIePSw + 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 + /usr/bin/rm -rf /builddir/build/BUILD/aida-x-1.1.0-build + /usr/bin/mkdir -p /builddir/build/BUILD/aida-x-1.1.0-build + /usr/bin/mkdir -p /builddir/build/BUILD/aida-x-1.1.0-build/SPECPARTS + RPM_EC=0 ++ jobs -p + exit 0 Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.PjD0Lu + 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.X0nhZX + 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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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-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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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-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 -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 14.2.1 -- The CXX compiler identification is GNU 14.2.1 -- 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 aarch64 and system name Linux CMake Deprecation Warning at modules/rtneural/CMakeLists.txt:1 (cmake_minimum_required): Compatibility with CMake < 3.5 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. -- 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 1.14.10 -- 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 -- Checking for module 'sdl2' -- Found sdl2, version 2.30.3 -- Checking for module 'alsa' -- Found alsa, version 1.2.12 -- Checking for module 'libpulse-simple' -- Found libpulse-simple, version 17.0 -- Configuring done (2.4s) -- 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 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 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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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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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-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/ImageBaseWidgets.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/ImageBaseWidgets.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/ImageBaseWidgets.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/ImageBaseWidgets.cpp [ 14%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Layout.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/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe 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CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/SubWidget.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/SubWidget.cpp [ 16%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/SubWidgetPrivateData.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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 -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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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/TopLevelWidget.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/TopLevelWidget.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/TopLevelWidget.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/TopLevelWidget.cpp [ 19%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/TopLevelWidgetPrivateData.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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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/TopLevelWidgetPrivateData.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/TopLevelWidgetPrivateData.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/TopLevelWidgetPrivateData.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/TopLevelWidgetPrivateData.cpp [ 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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables 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-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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 [ 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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 [ 26%] 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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 [ 28%] 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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 [ 29%] 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' [ 29%] Built target RTNeural /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 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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 [ 32%] 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' [ 32%] Built target AIDA-X /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 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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/cmake -E cmake_link_script CMakeFiles/AIDA-X-Standalone.dir/link.txt --verbose=1 /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' [ 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-fstack-clash-protection -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 [ 42%] 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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 [ 43%] 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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 [ 44%] 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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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/r8brain/pffft.cpp.o -MF CMakeFiles/AIDA-X-dsp.dir/modules/r8brain/pffft.cpp.o.d -o CMakeFiles/AIDA-X-dsp.dir/modules/r8brain/pffft.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain/pffft.cpp [ 46%] 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 -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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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/r8brain/r8bbase.cpp.o -MF CMakeFiles/AIDA-X-dsp.dir/modules/r8brain/r8bbase.cpp.o.d -o CMakeFiles/AIDA-X-dsp.dir/modules/r8brain/r8bbase.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain/r8bbase.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++/14/cstdio:42, 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, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.cpp:17: 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 ()); | ~~~~~~~~~~~~~~~~~ [ 47%] Building CXX object CMakeFiles/AIDA-X-dsp.dir/src/aidadsp-plugin.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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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++/14/backward/strstream:50, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp:19: /usr/include/c++/14/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 \ | ^~~~~~~ [ 48%] 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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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/Biquad.cpp.o -MF CMakeFiles/AIDA-X-dsp.dir/src/Biquad.cpp.o.d -o CMakeFiles/AIDA-X-dsp.dir/src/Biquad.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/Biquad.cpp [ 50%] 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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 /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' [ 51%] 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 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-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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 CMakeFiles/AIDA-X-Standalone-dsp.dir/src/aidadsp-plugin.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp [ 61%] 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' [ 61%] Built target dgl-opengl /usr/bin/gmake -f CMakeFiles/AIDA-X-ui.dir/build.make CMakeFiles/AIDA-X-ui.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 62%] Generating Graphics.cpp /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/utils/res2c.py Graphics /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/graphics/png /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build Generating data for "/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/graphics/png/aida.png" Generating data for "/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/graphics/png/ax-amp-on.png" Generating data for "/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/graphics/png/ax-amp.png" Generating data for "/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/graphics/png/ax-cab-on.png" Generating data for "/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/graphics/png/ax-cab.png" Generating data for "/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 '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/AIDA-X-ui.dir/build.make CMakeFiles/AIDA-X-ui.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 64%] Building CXX object CMakeFiles/AIDA-X-ui.dir/Graphics.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 -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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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-ui.dir/Graphics.cpp.o -MF CMakeFiles/AIDA-X-ui.dir/Graphics.cpp.o.d -o CMakeFiles/AIDA-X-ui.dir/Graphics.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/Graphics.cpp In file included from /usr/include/c++/14/backward/strstream:50, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp:19: /usr/include/c++/14/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 \ | ^~~~~~~ [ 65%] Building CXX object CMakeFiles/AIDA-X-ui.dir/src/aidadsp-ui.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 -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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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-ui.dir/src/aidadsp-ui.cpp.o -MF CMakeFiles/AIDA-X-ui.dir/src/aidadsp-ui.cpp.o.d -o CMakeFiles/AIDA-X-ui.dir/src/aidadsp-ui.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-ui.cpp /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 CMakeFiles/AIDA-X-Standalone-ui.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 66%] Building CXX object CMakeFiles/AIDA-X-Standalone-ui.dir/Graphics.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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 [ 67%] Linking CXX static library libAIDA-X-ui.a /usr/bin/cmake -P CMakeFiles/AIDA-X-ui.dir/cmake_clean_target.cmake /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-ui.dir/link.txt --verbose=1 /usr/bin/ar qc libAIDA-X-ui.a "CMakeFiles/AIDA-X-ui.dir/Graphics.cpp.o" "CMakeFiles/AIDA-X-ui.dir/src/aidadsp-ui.cpp.o" /usr/bin/ranlib libAIDA-X-ui.a gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 67%] Built target AIDA-X-ui /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 gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 69%] 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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 [ 70%] 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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 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, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp:17: /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++/14/cstdio:42, 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 ()); | ~~~~~~~~~~~~~~~~~ [ 71%] 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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 [ 73%] 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 /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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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-ui.version -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-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -shared -o bin/AIDA-X.lv2/AIDA-X_ui.so "CMakeFiles/AIDA-X-lv2-ui.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o" 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 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, 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/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 8; int out_sizet = 1]’: /usr/include/c++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:563:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 563 | : _Base() { } | ^ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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) | ^~~~~~~~~~~~~ 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: /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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 12; int out_sizet = 1]’: /usr/include/c++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:563:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 563 | : _Base() { } | ^ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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) | ^~~~~~~~~~~~~ [ 74%] 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 /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" /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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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) | ^~~~~~~~~~~~~ /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' [ 75%] 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 = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 16; int out_sizet = 1]’: /usr/include/c++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:563:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 563 | : _Base() { } | ^ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 20; int out_sizet = 1]’: /usr/include/c++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:563:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 563 | : _Base() { } | ^ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 24; int out_sizet = 1]’: /usr/include/c++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:563:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 563 | : _Base() { } | ^ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 32; int out_sizet = 1]’: /usr/include/c++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:563:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 563 | : _Base() { } | ^ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 40; int out_sizet = 1]’: /usr/include/c++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:563:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 563 | : _Base() { } | ^ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 64; int out_sizet = 1]’: /usr/include/c++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:563:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 563 | : _Base() { } | ^ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 80; int out_sizet = 1]’: /usr/include/c++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:563:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 563 | : _Base() { } | ^ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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) | ^~~~~~~~~~~~~ /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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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) | ^~~~~~~~~~~~~ [ 76%] Building CXX object CMakeFiles/AIDA-X-Standalone-dsp.dir/src/Biquad.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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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/Biquad.cpp.o -MF CMakeFiles/AIDA-X-Standalone-dsp.dir/src/Biquad.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-dsp.dir/src/Biquad.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/Biquad.cpp [ 78%] 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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/3rd-party.cpp 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 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, 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/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 8; int out_sizet = 1]’: /usr/include/c++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:563:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 563 | : _Base() { } | ^ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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) | ^~~~~~~~~~~~~ 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: /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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 12; int out_sizet = 1]’: /usr/include/c++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:563:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 563 | : _Base() { } | ^ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 16; int out_sizet = 1]’: /usr/include/c++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:563:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 563 | : _Base() { } | ^ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 20; int out_sizet = 1]’: /usr/include/c++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:563:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 563 | : _Base() { } | ^ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 24; int out_sizet = 1]’: /usr/include/c++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:563:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 563 | : _Base() { } | ^ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 32; int out_sizet = 1]’: /usr/include/c++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:563:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 563 | : _Base() { } | ^ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 40; int out_sizet = 1]’: /usr/include/c++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:563:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 563 | : _Base() { } | ^ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 64; int out_sizet = 1]’: /usr/include/c++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:563:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 563 | : _Base() { } | ^ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 80; int out_sizet = 1]’: /usr/include/c++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:563:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 563 | : _Base() { } | ^ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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) | ^~~~~~~~~~~~~ /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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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++/14/tuple:199:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 199 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/14/tuple:305:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 305 | : _Inherited(), _Base() { } | ^ /usr/include/c++/14/tuple:2091:15: 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]’ 2091 | : _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++/14/variant:283:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 283 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 284 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 119 | ::new((void*)__p) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:567:22: 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 = {}]’ 567 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 568 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1574:33: 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]’ 1574 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/variant:1526:33: 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 >&]’ 1526 | 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) | ^~~~~~~~~~~~~ [ 79%] Linking CXX static library libAIDA-X-Standalone-dsp.a /usr/bin/cmake -P CMakeFiles/AIDA-X-Standalone-dsp.dir/cmake_clean_target.cmake /usr/bin/cmake -E cmake_link_script 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CXX object CMakeFiles/AIDA-X-Standalone-jack.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o [ 83%] 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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard 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-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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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/../extra/FileBrowserDialogImpl.cpp:50, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:53, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp:17: /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++/14/cstdio:42, 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 ()); | ~~~~~~~~~~~~~~~~~ [ 84%] 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/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" "CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/Utilities.cpp.o" "CMakeFiles/AIDA-X-dsp.dir/modules/r8brain/pffft.cpp.o" "CMakeFiles/AIDA-X-dsp.dir/modules/r8brain/r8bbase.cpp.o" "CMakeFiles/AIDA-X-dsp.dir/src/aidadsp-plugin.cpp.o" "CMakeFiles/AIDA-X-dsp.dir/src/Biquad.cpp.o" "CMakeFiles/AIDA-X-dsp.dir/src/3rd-party.cpp.o" /usr/bin/ranlib libAIDA-X-dsp.a gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 84%] Built target AIDA-X-dsp /usr/bin/gmake -f CMakeFiles/AIDA-X-clap.dir/build.make 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-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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 [ 89%] 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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 [ 91%] 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 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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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 [ 92%] 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++ -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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes "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 -lSDL2 -lm -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 [ 93%] 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 /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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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,-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-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 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, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp:17: /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++/14/cstdio:42, 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, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp:17: /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++/14/cstdio:42, 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 ()); | ~~~~~~~~~~~~~~~~~ [ 94%] 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 /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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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,-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-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 [ 96%] Linking CXX shared module bin/AIDA-X.clap /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-clap.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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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,-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-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 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-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' 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=" 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-vst3.dir/build.make CMakeFiles/AIDA-X-vst3.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-vst3.dir/modules/dpf/distrho/DistrhoPluginMain.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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 [ 98%] 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/include/dbus-1.0 -I/usr/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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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/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, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp:17: /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++/14/cstdio:42, 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 shared module bin/AIDA-X.vst3/Contents/aarch64-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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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,-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-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -shared -o bin/AIDA-X.vst3/Contents/aarch64-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-vst2 gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [100%] Built target AIDA-X-clap 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[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [100%] Built target AIDA-X-vst3 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.023VaQ + 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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -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-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.fc41 --unique-debug-suffix -1.1.0-1.fc41.aarch64 --unique-debug-src-base aida-x-1.1.0-1.fc41.aarch64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 50000000 -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.fc41.aarch64 24212 blocks 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/brp-strip-static-archive /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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/modules/rtneural/modules/Eigen/Eigen/src/Core/arch/NEON/PacketMath.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc41.aarch64/modules/rtneural/modules/Eigen/Eigen/src/Core/arch/NEON/MathFunctions.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc41.aarch64/modules/rtneural/modules/Eigen/Eigen/src/Core/arch/NEON/Complex.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/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.fc41.aarch64/modules/FFTConvolver/TwoStageFFTConvolver.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc41.aarch64/modules/FFTConvolver/TwoStageFFTConvolver.cpp is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc41.aarch64/modules/FFTConvolver/FFTConvolver.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc41.aarch64/modules/FFTConvolver/FFTConvolver.cpp is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc41.aarch64/modules/FFTConvolver/AudioFFT.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc41.aarch64/modules/FFTConvolver/AudioFFT.cpp is executable but has no shebang, removing executable bit + /usr/lib/rpm/brp-remove-la-files + 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.fc41.aarch64 Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.ZNVLKf + 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.4xn5vy + 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.fc41 aida-x(aarch-64) = 1.1.0-1.fc41 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: ld-linux-aarch64.so.1()(64bit) ld-linux-aarch64.so.1(GLIBC_2.17)(64bit) 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_2.17)(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_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_2.17)(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_1.3.8)(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_3.4.29)(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.fc41.aarch64 Provides: vst3-aida-x = 1.1.0-1.fc41 vst3-aida-x(aarch-64) = 1.1.0-1.fc41 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: ld-linux-aarch64.so.1()(64bit) ld-linux-aarch64.so.1(GLIBC_2.17)(64bit) libGL.so.1()(64bit) libX11.so.6()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.17)(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_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_2.17)(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_3.4.29)(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.fc41.aarch64 Provides: vst-aida-x = 1.1.0-1.fc41 vst-aida-x(aarch-64) = 1.1.0-1.fc41 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: ld-linux-aarch64.so.1()(64bit) ld-linux-aarch64.so.1(GLIBC_2.17)(64bit) libGL.so.1()(64bit) libX11.so.6()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.17)(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_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_2.17)(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_3.4.29)(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.fc41.aarch64 Provides: lv2-aida-x = 1.1.0-1.fc41 lv2-aida-x(aarch-64) = 1.1.0-1.fc41 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: ld-linux-aarch64.so.1()(64bit) ld-linux-aarch64.so.1(GLIBC_2.17)(64bit) libGL.so.1()(64bit) libX11.so.6()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.17)(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_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_2.17)(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_3.4.29)(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.fc41.aarch64 Provides: clap-aida-x = 1.1.0-1.fc41 clap-aida-x(aarch-64) = 1.1.0-1.fc41 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: ld-linux-aarch64.so.1()(64bit) ld-linux-aarch64.so.1(GLIBC_2.17)(64bit) libGL.so.1()(64bit) libX11.so.6()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.17)(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_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_2.17)(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_3.4.29)(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.fc41.aarch64 Provides: aida-x-debugsource = 1.1.0-1.fc41 aida-x-debugsource(aarch-64) = 1.1.0-1.fc41 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.fc41.aarch64 Provides: aida-x-debuginfo = 1.1.0-1.fc41 aida-x-debuginfo(aarch-64) = 1.1.0-1.fc41 debuginfo(build-id) = abbb7234dc0bf0d0ccbd360069e5ae9696273e2b Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: aida-x-debugsource(aarch-64) = 1.1.0-1.fc41 Processing files: vst3-aida-x-debuginfo-1.1.0-1.fc41.aarch64 Provides: debuginfo(build-id) = 505c7053ea1b97f6c5dcdacf96a621a4f2829a5a vst3-aida-x-debuginfo = 1.1.0-1.fc41 vst3-aida-x-debuginfo(aarch-64) = 1.1.0-1.fc41 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: aida-x-debugsource(aarch-64) = 1.1.0-1.fc41 Processing files: vst-aida-x-debuginfo-1.1.0-1.fc41.aarch64 Provides: debuginfo(build-id) = 42e163d0eabee341faeff5977c5fae90cbdfd761 vst-aida-x-debuginfo = 1.1.0-1.fc41 vst-aida-x-debuginfo(aarch-64) = 1.1.0-1.fc41 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: aida-x-debugsource(aarch-64) = 1.1.0-1.fc41 Processing files: lv2-aida-x-debuginfo-1.1.0-1.fc41.aarch64 Provides: debuginfo(build-id) = 78dee21371defe57124048bb5012e9485b5e0ea6 debuginfo(build-id) = b4d961a90dda8196d2bd7c2c015676e0608b1e07 lv2-aida-x-debuginfo = 1.1.0-1.fc41 lv2-aida-x-debuginfo(aarch-64) = 1.1.0-1.fc41 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: aida-x-debugsource(aarch-64) = 1.1.0-1.fc41 Processing files: clap-aida-x-debuginfo-1.1.0-1.fc41.aarch64 Provides: clap-aida-x-debuginfo = 1.1.0-1.fc41 clap-aida-x-debuginfo(aarch-64) = 1.1.0-1.fc41 debuginfo(build-id) = f841e6c7db120b66a3e7351683a850023f3eec4b Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: aida-x-debugsource(aarch-64) = 1.1.0-1.fc41 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT Wrote: /builddir/build/RPMS/clap-aida-x-debuginfo-1.1.0-1.fc41.aarch64.rpm Wrote: /builddir/build/RPMS/vst-aida-x-debuginfo-1.1.0-1.fc41.aarch64.rpm Wrote: /builddir/build/RPMS/vst3-aida-x-debuginfo-1.1.0-1.fc41.aarch64.rpm Wrote: /builddir/build/RPMS/lv2-aida-x-1.1.0-1.fc41.aarch64.rpm Wrote: /builddir/build/RPMS/aida-x-1.1.0-1.fc41.aarch64.rpm Wrote: /builddir/build/RPMS/vst3-aida-x-1.1.0-1.fc41.aarch64.rpm Wrote: /builddir/build/RPMS/clap-aida-x-1.1.0-1.fc41.aarch64.rpm Wrote: /builddir/build/RPMS/vst-aida-x-1.1.0-1.fc41.aarch64.rpm Wrote: /builddir/build/RPMS/lv2-aida-x-debuginfo-1.1.0-1.fc41.aarch64.rpm Wrote: /builddir/build/RPMS/aida-x-debugsource-1.1.0-1.fc41.aarch64.rpm Wrote: /builddir/build/RPMS/aida-x-debuginfo-1.1.0-1.fc41.aarch64.rpm Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.zZgaPL + 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.fc41.src.rpm Finish: build phase for aida-x-1.1.0-1.fc41.src.rpm INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-41-aarch64-1726628159.900738/root/var/log/dnf5.log INFO: Done(/var/lib/copr-rpmbuild/results/aida-x-1.1.0-1.fc41.src.rpm) Config(child) 4 minutes 3 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": "clap-aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc41", "arch": "aarch64" }, { "name": "aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc41", "arch": "src" }, { "name": "lv2-aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc41", "arch": "aarch64" }, { "name": "aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc41", "arch": "aarch64" }, { "name": "vst3-aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc41", "arch": "aarch64" }, { "name": "aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc41", "arch": "aarch64" }, { "name": "vst-aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc41", "arch": "aarch64" }, { "name": "clap-aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc41", "arch": "aarch64" }, { "name": "lv2-aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc41", "arch": "aarch64" }, { "name": "aida-x-debugsource", "epoch": null, "version": "1.1.0", "release": "1.fc41", "arch": "aarch64" }, { "name": "vst3-aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc41", "arch": "aarch64" }, { "name": "vst-aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc41", "arch": "aarch64" } ] } RPMResults finished