Warning: Permanently added '98.81.199.225' (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/10219039-fedora-44-aarch64 --chroot fedora-44-aarch64 Version: 1.6 PID: 12661 Logging PID: 12663 Task: {'allow_user_ssh': False, 'appstream': False, 'background': False, 'build_id': 10219039, 'buildroot_pkgs': [], 'chroot': 'fedora-44-aarch64', 'enable_net': True, 'fedora_review': False, 'git_hash': '6433f86e161c4c83a4776d44836fce6b26063302', '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-44-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'}], 'sandbox': 'ycollet/audinux--ycollet', 'source_json': {}, 'source_type': None, 'ssh_public_keys': None, 'storage': 0, 'submitter': 'ycollet', 'tags': [], 'task_id': '10219039-fedora-44-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-j0rzygi4/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-j0rzygi4/aida-x', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-j0rzygi4/aida-x'... Running: git checkout 6433f86e161c4c83a4776d44836fce6b26063302 -- cmd: ['git', 'checkout', '6433f86e161c4c83a4776d44836fce6b26063302', '--'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-j0rzygi4/aida-x rc: 0 stdout: stderr: Note: switching to '6433f86e161c4c83a4776d44836fce6b26063302'. 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 6433f86 automatic import of aida-x Running: dist-git-client sources cmd: ['dist-git-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-j0rzygi4/aida-x rc: 0 stdout: stderr: INFO: Reading stdout from command: git rev-parse --abbrev-ref HEAD INFO: Reading stdout from command: git rev-parse HEAD INFO: Reading sources specification file: sources INFO: Downloading AIDA-X.tar.gz INFO: Reading stdout from command: curl --help all INFO: Calling: curl -H Pragma: -H 'Accept-Encoding: identity' -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/md5/4f9f9a601db52f091513671b4ea08a54/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 403M 0 --:--:-- --:--:-- --:--:-- 409M INFO: Reading stdout from command: md5sum AIDA-X.tar.gz tail: /var/lib/copr-rpmbuild/main.log: file truncated Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-j0rzygi4/aida-x/aidax.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-j0rzygi4/aida-x --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1773342969.327066 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 6.7 starting (python version = 3.14.2, NVR = mock-6.7-1.fc43), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-j0rzygi4/aida-x/aidax.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-j0rzygi4/aida-x --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1773342969.327066 -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-j0rzygi4/aida-x/aidax.spec) Config(fedora-44-aarch64) Start: clean chroot Finish: clean chroot Mock Version: 6.7 INFO: Mock Version: 6.7 Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-44-aarch64-bootstrap-1773342969.327066/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start(bootstrap): cleaning package manager metadata Finish(bootstrap): cleaning package manager metadata INFO: Guessed host environment type: unknown INFO: Using container image: registry.fedoraproject.org/fedora:44 INFO: Pulling image: registry.fedoraproject.org/fedora:44 INFO: Tagging container image as mock-bootstrap-f58abe72-b19a-4c9c-ade7-2de6cb45cb57 INFO: Checking that 9b8f7d2eed9e778e63508551dc50023be700ec9c324bb62d4c5196a605dc010f image matches host's architecture INFO: Copy content of container 9b8f7d2eed9e778e63508551dc50023be700ec9c324bb62d4c5196a605dc010f to /var/lib/mock/fedora-44-aarch64-bootstrap-1773342969.327066/root INFO: mounting 9b8f7d2eed9e778e63508551dc50023be700ec9c324bb62d4c5196a605dc010f with podman image mount INFO: image 9b8f7d2eed9e778e63508551dc50023be700ec9c324bb62d4c5196a605dc010f as /var/lib/containers/storage/overlay/5c49ae2eef4ffb2ac761dda0509f32069885b377f4a7666c750e4f2ede9cbfb6/merged INFO: umounting image 9b8f7d2eed9e778e63508551dc50023be700ec9c324bb62d4c5196a605dc010f (/var/lib/containers/storage/overlay/5c49ae2eef4ffb2ac761dda0509f32069885b377f4a7666c750e4f2ede9cbfb6/merged) with podman image umount INFO: Removing image mock-bootstrap-f58abe72-b19a-4c9c-ade7-2de6cb45cb57 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-44-aarch64-1773342969.327066/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-6.0.1-2.fc44.aarch64 rpm-sequoia-1.10.1-1.fc44.aarch64 dnf5-5.3.0.0-7.fc44.aarch64 dnf5-plugins-5.3.0.0-7.fc44.aarch64 Start: installing minimal buildroot with dnf5 Updating and loading repositories: Copr repository 100% | 1.3 MiB/s | 530.7 KiB | 00m00s Additional repo https_download1_rpmfus 100% | 138.1 KiB/s | 133.1 KiB | 00m01s fedora 100% | 24.7 MiB/s | 36.2 MiB | 00m01s updates 100% | 11.6 KiB/s | 18.0 KiB | 00m02s Repositories loaded. Package Arch Version Repository Size Installing group/module packages: bash aarch64 0:5.3.9-3.fc44 fedora 8.4 MiB bzip2 aarch64 0:1.0.8-23.fc44 fedora 171.1 KiB coreutils aarch64 0:9.9-4.fc44 fedora 8.1 MiB cpio aarch64 0:2.15-9.fc44 fedora 1.1 MiB diffutils aarch64 0:3.12-5.fc44 fedora 1.6 MiB fedora-release-common noarch 0:44-0.15 fedora 20.6 KiB findutils aarch64 1:4.10.0-7.fc44 fedora 1.9 MiB gawk aarch64 0:5.3.2-3.fc44 fedora 2.6 MiB glibc-minimal-langpack aarch64 0:2.43-1.fc44 fedora 0.0 B grep aarch64 0:3.12-3.fc44 fedora 1.0 MiB gzip aarch64 0:1.14-2.fc44 fedora 437.5 KiB info aarch64 0:7.2-9.fc44 fedora 421.5 KiB patch aarch64 0:2.8-4.fc44 fedora 262.4 KiB redhat-rpm-config noarch 0:343-19.fc44 fedora 183.6 KiB rpm-build aarch64 0:6.0.1-2.fc44 fedora 598.3 KiB sed aarch64 0:4.9-7.fc44 fedora 873.1 KiB shadow-utils aarch64 2:4.19.0-6.fc44 fedora 4.4 MiB tar aarch64 2:1.35-8.fc44 fedora 3.0 MiB unzip aarch64 0:6.0-69.fc44 fedora 533.8 KiB util-linux aarch64 0:2.41.3-12.fc44 fedora 6.8 MiB which aarch64 0:2.23-4.fc44 fedora 123.3 KiB xz aarch64 1:5.8.2-2.fc44 fedora 1.4 MiB Installing dependencies: R-srpm-macros noarch 0:1.3.5-1.fc44 fedora 3.5 KiB add-determinism aarch64 0:0.7.2-4.fc44 fedora 2.0 MiB alternatives aarch64 0:1.33-5.fc44 fedora 90.1 KiB ansible-srpm-macros noarch 0:1-20.1.fc44 fedora 35.7 KiB audit-libs aarch64 0:4.1.3-1.fc44 fedora 486.5 KiB binutils aarch64 0:2.46-1.fc44 fedora 30.5 MiB build-reproducibility-srpm-macros noarch 0:0.7.2-4.fc44 fedora 1.2 KiB bzip2-libs aarch64 0:1.0.8-23.fc44 fedora 72.5 KiB ca-certificates noarch 0:2025.2.80_v9.0.304-5.fc44 fedora 2.7 MiB cmake-srpm-macros noarch 0:4.2.3-2.fc44 fedora 524.0 B coreutils-common aarch64 0:9.9-4.fc44 fedora 11.2 MiB crypto-policies noarch 0:20251128-3.git19878fe.fc44 fedora 132.6 KiB curl aarch64 0:8.18.0-4.fc44 fedora 464.1 KiB cyrus-sasl-lib aarch64 0:2.1.28-35.fc44 fedora 2.4 MiB debugedit aarch64 0:5.2-6.fc44 fedora 318.3 KiB dwz aarch64 0:0.16-3.fc44 fedora 322.4 KiB ed aarch64 0:1.22.5-2.fc44 fedora 157.8 KiB efi-srpm-macros noarch 0:6-6.fc44 fedora 40.2 KiB elfutils aarch64 0:0.194-3.fc44 fedora 3.3 MiB elfutils-debuginfod-client aarch64 0:0.194-3.fc44 fedora 143.7 KiB elfutils-default-yama-scope noarch 0:0.194-3.fc44 fedora 1.8 KiB elfutils-libelf aarch64 0:0.194-3.fc44 fedora 1.1 MiB elfutils-libs aarch64 0:0.194-3.fc44 fedora 746.4 KiB fedora-gpg-keys noarch 0:44-0.3 fedora 133.4 KiB fedora-release noarch 0:44-0.15 fedora 0.0 B fedora-release-identity-basic noarch 0:44-0.15 fedora 656.0 B fedora-repos noarch 0:44-0.3 fedora 4.9 KiB file aarch64 0:5.46-9.fc44 fedora 140.1 KiB file-libs aarch64 0:5.46-9.fc44 fedora 11.9 MiB filesystem aarch64 0:3.18-52.fc44 fedora 112.0 B filesystem-srpm-macros noarch 0:3.18-52.fc44 fedora 38.2 KiB fonts-srpm-macros noarch 1:5.0.0-2.fc44 fedora 55.8 KiB forge-srpm-macros noarch 0:0.4.0-4.fc44 fedora 38.9 KiB fpc-srpm-macros noarch 0:1.3-16.fc44 fedora 144.0 B gap-srpm-macros noarch 0:2-2.fc44 fedora 2.1 KiB gdb-minimal aarch64 0:17.1-2.fc44 fedora 13.7 MiB gdbm-libs aarch64 1:1.23-11.fc44 fedora 233.7 KiB ghc-srpm-macros noarch 0:1.10-1.fc44 fedora 792.0 B glibc aarch64 0:2.43-1.fc44 fedora 6.4 MiB glibc-common aarch64 0:2.43-1.fc44 fedora 1.3 MiB glibc-gconv-extra aarch64 0:2.43-1.fc44 fedora 18.5 MiB gmp aarch64 1:6.3.0-5.fc44 fedora 657.9 KiB gnat-srpm-macros noarch 0:7-2.fc44 fedora 1.0 KiB gnulib-l10n noarch 0:20241231-2.fc44 fedora 655.0 KiB gnupg2 aarch64 0:2.4.9-5.fc44 fedora 6.4 MiB gnupg2-dirmngr aarch64 0:2.4.9-5.fc44 fedora 646.0 KiB gnupg2-gpg-agent aarch64 0:2.4.9-5.fc44 fedora 846.7 KiB gnupg2-gpgconf aarch64 0:2.4.9-5.fc44 fedora 321.7 KiB gnupg2-keyboxd aarch64 0:2.4.9-5.fc44 fedora 233.2 KiB gnupg2-verify aarch64 0:2.4.9-5.fc44 fedora 364.3 KiB gnutls aarch64 0:3.8.12-1.fc44 fedora 3.6 MiB go-srpm-macros noarch 0:3.8.0-2.fc44 fedora 61.9 KiB gpgverify noarch 0:2.2-4.fc44 fedora 8.7 KiB ima-evm-utils-libs aarch64 0:1.6.2-8.fc44 fedora 92.6 KiB jansson aarch64 0:2.14-4.fc44 fedora 93.0 KiB java-srpm-macros noarch 0:1-8.fc44 fedora 870.0 B json-c aarch64 0:0.18-8.fc44 fedora 138.5 KiB kernel-srpm-macros noarch 0:1.0-28.fc44 fedora 1.9 KiB keyutils-libs aarch64 0:1.6.3-7.fc44 fedora 98.2 KiB krb5-libs aarch64 0:1.22.2-2.fc44 fedora 2.5 MiB libacl aarch64 0:2.3.2-6.fc44 fedora 67.8 KiB libarchive aarch64 0:3.8.4-2.fc44 fedora 975.1 KiB libassuan aarch64 0:2.5.7-5.fc44 fedora 215.8 KiB libattr aarch64 0:2.5.2-8.fc44 fedora 68.3 KiB libblkid aarch64 0:2.41.3-12.fc44 fedora 290.3 KiB libbrotli aarch64 0:1.2.0-3.fc44 fedora 909.1 KiB libcap aarch64 0:2.77-2.fc44 fedora 508.0 KiB libcap-ng aarch64 0:0.9-7.fc44 fedora 160.7 KiB libcbor aarch64 0:0.13.0-2.fc44 fedora 139.5 KiB libcom_err aarch64 0:1.47.3-4.fc44 fedora 111.0 KiB libcurl aarch64 0:8.18.0-4.fc44 fedora 980.9 KiB libeconf aarch64 0:0.7.9-3.fc44 fedora 80.8 KiB libevent aarch64 0:2.1.12-17.fc44 fedora 1.1 MiB libfdisk aarch64 0:2.41.3-12.fc44 fedora 418.7 KiB libffi aarch64 0:3.5.2-2.fc44 fedora 155.7 KiB libfido2 aarch64 0:1.16.0-5.fc44 fedora 278.6 KiB libfsverity aarch64 0:1.6-4.fc44 fedora 68.4 KiB libgcc aarch64 0:16.0.1-0.9.fc44 fedora 222.3 KiB libgcrypt aarch64 0:1.12.1-1.fc44 fedora 1.2 MiB libgomp aarch64 0:16.0.1-0.9.fc44 fedora 592.1 KiB libgpg-error aarch64 0:1.58-2.fc44 fedora 989.6 KiB libidn2 aarch64 0:2.3.8-3.fc44 fedora 560.4 KiB libksba aarch64 0:1.6.7-5.fc44 fedora 398.3 KiB liblastlog2 aarch64 0:2.41.3-12.fc44 fedora 137.7 KiB libmount aarch64 0:2.41.3-12.fc44 fedora 420.0 KiB libnghttp2 aarch64 0:1.68.0-3.fc44 fedora 197.9 KiB libnghttp3 aarch64 0:1.15.0-1.fc44 fedora 206.6 KiB libpkgconf aarch64 0:2.5.1-1.fc44 fedora 134.1 KiB libpsl aarch64 0:0.21.5-7.fc44 fedora 132.3 KiB libselinux aarch64 0:3.10-1.fc44 fedora 201.0 KiB libselinux-utils aarch64 0:3.10-1.fc44 fedora 1.3 MiB libsemanage aarch64 0:3.10-1.fc44 fedora 360.0 KiB libsepol aarch64 0:3.10-1.fc44 fedora 810.0 KiB libsmartcols aarch64 0:2.41.3-12.fc44 fedora 224.4 KiB libssh aarch64 0:0.12.0-1.fc44 fedora 718.9 KiB libssh-config noarch 0:0.12.0-1.fc44 fedora 277.0 B libstdc++ aarch64 0:16.0.1-0.9.fc44 fedora 2.8 MiB libtasn1 aarch64 0:4.20.0-3.fc44 fedora 220.2 KiB libtool-ltdl aarch64 0:2.5.4-10.fc44 fedora 93.9 KiB libunistring aarch64 0:1.1-11.fc44 fedora 1.7 MiB libusb1 aarch64 0:1.0.29-5.fc44 fedora 178.8 KiB libuuid aarch64 0:2.41.3-12.fc44 fedora 69.3 KiB libverto aarch64 0:0.3.2-12.fc44 fedora 69.3 KiB libxcrypt aarch64 0:4.5.2-3.fc44 fedora 273.2 KiB libxml2 aarch64 0:2.12.10-6.fc44 fedora 1.9 MiB libzstd aarch64 0:1.5.7-5.fc44 fedora 860.2 KiB linkdupes aarch64 0:0.7.2-4.fc44 fedora 714.0 KiB lua-libs aarch64 0:5.4.8-5.fc44 fedora 329.8 KiB lua-srpm-macros noarch 0:1-17.fc44 fedora 1.3 KiB lz4-libs aarch64 0:1.10.0-4.fc44 fedora 197.3 KiB mpfr aarch64 0:4.2.2-3.fc44 fedora 755.4 KiB ncurses-base noarch 0:6.6-1.fc44 fedora 329.7 KiB ncurses-libs aarch64 0:6.6-1.fc44 fedora 1.2 MiB nettle aarch64 0:3.10.1-3.fc44 fedora 765.0 KiB ngtcp2 aarch64 0:1.19.0-2.fc44 fedora 341.0 KiB ngtcp2-crypto-ossl aarch64 0:1.19.0-2.fc44 fedora 67.4 KiB npth aarch64 0:1.8-4.fc44 fedora 93.3 KiB ocaml-srpm-macros noarch 0:11-3.fc44 fedora 1.9 KiB openblas-srpm-macros noarch 0:2-21.fc44 fedora 112.0 B openldap aarch64 0:2.6.10-7.fc44 fedora 761.6 KiB openssl-libs aarch64 1:3.5.5-1.fc44 fedora 7.4 MiB p11-kit aarch64 0:0.26.2-1.fc44 fedora 2.7 MiB p11-kit-trust aarch64 0:0.26.2-1.fc44 fedora 530.1 KiB package-notes-srpm-macros noarch 0:0.5-16.fc44 fedora 1.6 KiB pam-libs aarch64 0:1.7.2-1.fc44 fedora 222.6 KiB pcre2 aarch64 0:10.47-1.fc44.1 fedora 714.3 KiB pcre2-syntax noarch 0:10.47-1.fc44.1 fedora 281.9 KiB perl-srpm-macros noarch 0:1-61.fc44 fedora 861.0 B pkgconf aarch64 0:2.5.1-1.fc44 fedora 116.8 KiB pkgconf-m4 noarch 0:2.5.1-1.fc44 fedora 14.3 KiB pkgconf-pkg-config aarch64 0:2.5.1-1.fc44 fedora 990.0 B policycoreutils aarch64 0:3.10-1.fc44 fedora 1.5 MiB popt aarch64 0:1.19-10.fc44 fedora 144.6 KiB publicsuffix-list-dafsa noarch 0:20260116-1.fc44 fedora 70.4 KiB pyproject-srpm-macros noarch 0:1.18.6-2.fc44 fedora 1.9 KiB python-srpm-macros noarch 0:3.14-10.fc44 fedora 51.6 KiB qt5-srpm-macros noarch 0:5.15.18-2.fc44 fedora 500.0 B qt6-srpm-macros noarch 0:6.10.2-1.fc44 fedora 472.0 B readline aarch64 0:8.3-4.fc44 fedora 563.5 KiB rpm aarch64 0:6.0.1-2.fc44 fedora 3.3 MiB rpm-build-libs aarch64 0:6.0.1-2.fc44 fedora 264.0 KiB rpm-libs aarch64 0:6.0.1-2.fc44 fedora 995.0 KiB rpm-plugin-selinux aarch64 0:6.0.1-2.fc44 fedora 67.9 KiB rpm-sequoia aarch64 0:1.10.1-1.fc44 fedora 2.2 MiB rpm-sign-libs aarch64 0:6.0.1-2.fc44 fedora 67.6 KiB rust-srpm-macros noarch 0:28.4-3.fc44 fedora 5.5 KiB selinux-policy noarch 0:42.24-1.fc44 fedora 32.0 KiB selinux-policy-targeted noarch 0:42.24-1.fc44 fedora 18.5 MiB setup noarch 0:2.15.0-28.fc44 fedora 724.9 KiB sqlite-libs aarch64 0:3.51.2-1.fc44 fedora 1.6 MiB systemd-libs aarch64 0:259.3-1.fc44 fedora 2.5 MiB systemd-standalone-sysusers aarch64 0:259.3-1.fc44 fedora 329.6 KiB tpm2-tss aarch64 0:4.1.3-9.fc44 fedora 2.1 MiB tree-sitter-srpm-macros noarch 0:0.4.2-2.fc44 fedora 8.3 KiB util-linux-core aarch64 0:2.41.3-12.fc44 fedora 2.4 MiB xxhash-libs aarch64 0:0.8.3-4.fc44 fedora 85.8 KiB xz-libs aarch64 1:5.8.2-2.fc44 fedora 265.4 KiB zig-srpm-macros noarch 0:1-8.fc44 fedora 1.3 KiB zip aarch64 0:3.0-45.fc44 fedora 762.0 KiB zlib-ng-compat aarch64 0:2.3.3-2.fc44 fedora 133.4 KiB zstd aarch64 0:1.5.7-5.fc44 fedora 562.2 KiB Installing groups: Buildsystem building group Transaction Summary: Installing: 183 packages Total size of inbound packages is 66 MiB. Need to download 66 MiB. After this operation, 249 MiB extra will be used (install 249 MiB, remove 0 B). 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00m00s [155/183] libevent-0:2.1.12-17.fc44.aar 100% | 11.0 MiB/s | 270.5 KiB | 00m00s [156/183] libtool-ltdl-0:2.5.4-10.fc44. 100% | 1.6 MiB/s | 35.6 KiB | 00m00s [157/183] gdbm-libs-1:1.23-11.fc44.aarc 100% | 2.0 MiB/s | 56.3 KiB | 00m00s [158/183] fedora-release-0:44-0.15.noar 100% | 578.5 KiB/s | 12.7 KiB | 00m00s [159/183] systemd-standalone-sysusers-0 100% | 4.6 MiB/s | 141.0 KiB | 00m00s [160/183] gdb-minimal-0:17.1-2.fc44.aar 100% | 109.6 MiB/s | 4.4 MiB | 00m00s [161/183] xxhash-libs-0:0.8.3-4.fc44.aa 100% | 1.0 MiB/s | 34.5 KiB | 00m00s [162/183] fedora-release-identity-basic 100% | 586.9 KiB/s | 13.5 KiB | 00m00s [163/183] libcurl-0:8.18.0-4.fc44.aarch 100% | 17.2 MiB/s | 423.2 KiB | 00m00s [164/183] krb5-libs-0:1.22.2-2.fc44.aar 100% | 28.6 MiB/s | 762.2 KiB | 00m00s [165/183] libbrotli-0:1.2.0-3.fc44.aarc 100% | 14.8 MiB/s | 348.7 KiB | 00m00s [166/183] libpsl-0:0.21.5-7.fc44.aarch6 100% | 2.9 MiB/s | 64.9 KiB | 00m00s [167/183] libnghttp2-0:1.68.0-3.fc44.aa 100% | 2.3 MiB/s | 74.7 KiB | 00m00s [168/183] libnghttp3-0:1.15.0-1.fc44.aa 100% | 2.2 MiB/s | 68.8 KiB | 00m00s [169/183] libssh-0:0.12.0-1.fc44.aarch6 100% | 11.2 MiB/s | 274.8 KiB | 00m00s [170/183] ngtcp2-0:1.19.0-2.fc44.aarch6 100% | 5.9 MiB/s | 144.9 KiB | 00m00s [171/183] ngtcp2-crypto-ossl-0:1.19.0-2 100% | 1.0 MiB/s | 25.6 KiB | 00m00s [172/183] keyutils-libs-0:1.6.3-7.fc44. 100% | 1.4 MiB/s | 31.5 KiB | 00m00s [173/183] libcom_err-0:1.47.3-4.fc44.aa 100% | 1.1 MiB/s | 27.0 KiB | 00m00s [174/183] libverto-0:0.3.2-12.fc44.aarc 100% | 854.9 KiB/s | 20.5 KiB | 00m00s [175/183] publicsuffix-list-dafsa-0:202 100% | 2.7 MiB/s | 60.3 KiB | 00m00s [176/183] libfido2-0:1.16.0-5.fc44.aarc 100% | 4.1 MiB/s | 96.2 KiB | 00m00s [177/183] libssh-config-0:0.12.0-1.fc44 100% | 409.6 KiB/s | 9.4 KiB | 00m00s [178/183] libcbor-0:0.13.0-2.fc44.aarch 100% | 1.5 MiB/s | 34.4 KiB | 00m00s [179/183] policycoreutils-0:3.10-1.fc44 100% | 7.9 MiB/s | 259.4 KiB | 00m00s [180/183] selinux-policy-0:42.24-1.fc44 100% | 3.1 MiB/s | 69.1 KiB | 00m00s [181/183] selinux-policy-targeted-0:42. 100% | 121.6 MiB/s | 6.8 MiB | 00m00s [182/183] libselinux-utils-0:3.10-1.fc4 100% | 4.4 MiB/s | 122.3 KiB | 00m00s [183/183] rpm-plugin-selinux-0:6.0.1-2. 100% | 769.5 KiB/s | 19.2 KiB | 00m00s -------------------------------------------------------------------------------- [183/183] Total 100% | 34.5 MiB/s | 66.2 MiB | 00m02s Running transaction Importing OpenPGP key 0x6D9F90A6: UserID : "Fedora (44) " Fingerprint: 36F612DCF27F7D1A48A835E4DBFCF71C6D9F90A6 From : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-44-primary The key was successfully imported. [ 1/185] Verify package files 100% | 759.0 B/s | 183.0 B | 00m00s [ 2/185] Prepare transaction 100% | 2.3 KiB/s | 183.0 B | 00m00s [ 3/185] Installing libgcc-0:16.0.1-0. 100% | 109.4 MiB/s | 224.0 KiB | 00m00s [ 4/185] Installing libssh-config-0:0. 100% | 0.0 B/s | 816.0 B | 00m00s [ 5/185] Installing publicsuffix-list- 100% | 69.4 MiB/s | 71.1 KiB | 00m00s [ 6/185] Installing fedora-release-ide 100% | 890.6 KiB/s | 912.0 B | 00m00s [ 7/185] Installing fedora-gpg-keys-0: 100% | 29.6 MiB/s | 182.1 KiB | 00m00s [ 8/185] Installing fedora-repos-0:44- 100% | 0.0 B/s | 5.7 KiB | 00m00s [ 9/185] Installing fedora-release-com 100% | 24.3 MiB/s | 24.9 KiB | 00m00s [ 10/185] Installing fedora-release-0:4 100% | 17.3 KiB/s | 124.0 B | 00m00s >>> Running sysusers scriptlet: setup-0:2.15.0-28.fc44.noarch >>> Finished sysusers scriptlet: setup-0:2.15.0-28.fc44.noarch >>> Scriptlet output: >>> Creating group 'adm' with GID 4. >>> Creating group 'audio' with GID 63. >>> Creating group 'cdrom' with GID 11. >>> Creating group 'clock' with GID 103. >>> Creating group 'dialout' with GID 18. >>> Creating group 'disk' with GID 6. >>> Creating group 'floppy' with GID 19. >>> Creating group 'ftp' with GID 50. >>> Creating group 'games' with GID 20. >>> Creating group 'input' with GID 104. >>> Creating group 'kmem' with GID 9. >>> Creating group 'kvm' with GID 36. >>> Creating group 'lock' with GID 54. >>> Creating group 'lp' with GID 7. >>> Creating group 'mail' with GID 12. >>> Creating group 'man' with GID 15. >>> Creating group 'mem' with GID 8. >>> Creating group 'nobody' with GID 65534. >>> Creating group 'render' with GID 105. >>> Creating group 'root' with GID 0. >>> Creating group 'sgx' with GID 106. >>> Creating group 'sys' with GID 3. >>> Creating group 'tape' with GID 33. >>> Creating group 'tty' with GID 5. >>> Creating group 'users' with GID 100. >>> Creating group 'utmp' with GID 22. >>> Creating group 'video' with GID 39. >>> Creating group 'wheel' with GID 10. >>> Creating user 'adm' (adm) with UID 3 and GID 4. >>> Creating group 'bin' with GID 1. >>> Creating user 'bin' (bin) with UID 1 and GID 1. >>> Creating group 'daemon' with GID 2. >>> Creating user 'daemon' (daemon) with UID 2 and GID 2. >>> Creating user 'ftp' (FTP User) with UID 14 and GID 50. >>> Creating user 'games' (games) with UID 12 and GID 100. >>> Creating user 'halt' (halt) with UID 7 and GID 0. >>> Creating user 'lp' (lp) with UID 4 and GID 7. >>> Creating user 'mail' (mail) with UID 8 and GID 12. >>> Creating user 'nobody' (Kernel Overflow User) with UID 65534 and GID 65534. >>> Creating user 'operator' (operator) with UID 11 and GID 0. >>> Creating user 'root' (Super User) with UID 0 and GID 0. >>> Creating user 'shutdown' (shutdown) with UID 6 and GID 0. >>> Creating user 'sync' (sync) with UID 5 and GID 0. >>> [ 11/185] Installing setup-0:2.15.0-28. 100% | 37.5 MiB/s | 730.6 KiB | 00m00s [ 12/185] Installing filesystem-0:3.18- 100% | 2.0 MiB/s | 212.8 KiB | 00m00s [ 13/185] Installing pkgconf-m4-0:2.5.1 100% | 14.4 MiB/s | 14.7 KiB | 00m00s [ 14/185] Installing pcre2-syntax-0:10. 100% | 138.8 MiB/s | 284.3 KiB | 00m00s [ 15/185] Installing gnulib-l10n-0:2024 100% | 129.3 MiB/s | 661.9 KiB | 00m00s [ 16/185] Installing coreutils-common-0 100% | 311.9 MiB/s | 11.2 MiB | 00m00s [ 17/185] Installing ncurses-base-0:6.6 100% | 43.4 MiB/s | 355.3 KiB | 00m00s [ 18/185] Installing bash-0:5.3.9-3.fc4 100% | 210.8 MiB/s | 8.4 MiB | 00m00s [ 19/185] Installing glibc-common-0:2.4 100% | 60.2 MiB/s | 1.3 MiB | 00m00s [ 20/185] Installing glibc-gconv-extra- 100% | 372.5 MiB/s | 18.6 MiB | 00m00s [ 21/185] Installing glibc-0:2.43-1.fc4 100% | 145.1 MiB/s | 6.4 MiB | 00m00s [ 22/185] Installing ncurses-libs-0:6.6 100% | 207.6 MiB/s | 1.2 MiB | 00m00s [ 23/185] Installing glibc-minimal-lang 100% | 0.0 B/s | 124.0 B | 00m00s [ 24/185] Installing zlib-ng-compat-0:2 100% | 131.1 MiB/s | 134.2 KiB | 00m00s [ 25/185] Installing bzip2-libs-0:1.0.8 100% | 71.9 MiB/s | 73.6 KiB | 00m00s [ 26/185] Installing libgpg-error-0:1.5 100% | 46.3 MiB/s | 995.5 KiB | 00m00s [ 27/185] Installing libstdc++-0:16.0.1 100% | 315.9 MiB/s | 2.8 MiB | 00m00s [ 28/185] Installing libassuan-0:2.5.7- 100% | 212.6 MiB/s | 217.7 KiB | 00m00s [ 29/185] Installing libgcrypt-0:1.12.1 100% | 239.9 MiB/s | 1.2 MiB | 00m00s [ 30/185] Installing readline-0:8.3-4.f 100% | 184.1 MiB/s | 565.6 KiB | 00m00s [ 31/185] Installing gmp-1:6.3.0-5.fc44 100% | 214.9 MiB/s | 660.1 KiB | 00m00s [ 32/185] Installing libuuid-0:2.41.3-1 100% | 68.6 MiB/s | 70.3 KiB | 00m00s [ 33/185] Installing xz-libs-1:5.8.2-2. 100% | 260.2 MiB/s | 266.5 KiB | 00m00s [ 34/185] Installing systemd-libs-0:259 100% | 307.7 MiB/s | 2.5 MiB | 00m00s [ 35/185] Installing popt-0:1.19-10.fc4 100% | 49.2 MiB/s | 151.3 KiB | 00m00s [ 36/185] Installing libzstd-0:1.5.7-5. 100% | 280.4 MiB/s | 861.5 KiB | 00m00s [ 37/185] Installing elfutils-libelf-0: 100% | 286.1 MiB/s | 1.1 MiB | 00m00s [ 38/185] Installing npth-0:1.8-4.fc44. 100% | 92.2 MiB/s | 94.4 KiB | 00m00s [ 39/185] Installing libblkid-0:2.41.3- 100% | 142.3 MiB/s | 291.4 KiB | 00m00s [ 40/185] Installing libxcrypt-0:4.5.2- 100% | 134.7 MiB/s | 275.9 KiB | 00m00s [ 41/185] Installing libsepol-0:3.10-1. 100% | 264.0 MiB/s | 810.9 KiB | 00m00s [ 42/185] Installing sqlite-libs-0:3.51 100% | 261.2 MiB/s | 1.6 MiB | 00m00s [ 43/185] Installing gnupg2-gpgconf-0:2 100% | 18.6 MiB/s | 323.7 KiB | 00m00s [ 44/185] Installing libattr-0:2.5.2-8. 100% | 67.6 MiB/s | 69.3 KiB | 00m00s [ 45/185] Installing libacl-0:2.3.2-6.f 100% | 67.0 MiB/s | 68.6 KiB | 00m00s [ 46/185] Installing pcre2-0:10.47-1.fc 100% | 233.0 MiB/s | 715.7 KiB | 00m00s [ 47/185] Installing libselinux-0:3.10- 100% | 98.7 MiB/s | 202.2 KiB | 00m00s [ 48/185] Installing grep-0:3.12-3.fc44 100% | 47.2 MiB/s | 1.0 MiB | 00m00s [ 49/185] Installing sed-0:4.9-7.fc44.a 100% | 41.0 MiB/s | 881.3 KiB | 00m00s [ 50/185] Installing findutils-1:4.10.0 100% | 80.0 MiB/s | 1.9 MiB | 00m00s [ 51/185] Installing libtasn1-0:4.20.0- 100% | 108.4 MiB/s | 222.0 KiB | 00m00s [ 52/185] Installing libunistring-0:1.1 100% | 291.0 MiB/s | 1.7 MiB | 00m00s [ 53/185] Installing libidn2-0:2.3.8-3. 100% | 55.3 MiB/s | 566.6 KiB | 00m00s [ 54/185] Installing crypto-policies-0: 100% | 19.2 MiB/s | 157.7 KiB | 00m00s [ 55/185] Installing xz-1:5.8.2-2.fc44. 100% | 55.7 MiB/s | 1.4 MiB | 00m00s [ 56/185] Installing libmount-0:2.41.3- 100% | 205.7 MiB/s | 421.2 KiB | 00m00s [ 57/185] Installing gnupg2-verify-0:2. 100% | 21.0 MiB/s | 365.7 KiB | 00m00s [ 58/185] Installing dwz-0:0.16-3.fc44. 100% | 15.8 MiB/s | 323.8 KiB | 00m00s [ 59/185] Installing mpfr-0:4.2.2-3.fc4 100% | 184.8 MiB/s | 757.1 KiB | 00m00s [ 60/185] Installing gawk-0:5.3.2-3.fc4 100% | 103.2 MiB/s | 2.6 MiB | 00m00s [ 61/185] Installing libksba-0:1.6.7-5. 100% | 195.7 MiB/s | 400.8 KiB | 00m00s [ 62/185] Installing unzip-0:6.0-69.fc4 100% | 30.9 MiB/s | 537.3 KiB | 00m00s [ 63/185] Installing file-libs-0:5.46-9 100% | 625.3 MiB/s | 11.9 MiB | 00m00s [ 64/185] Installing file-0:5.46-9.fc44 100% | 8.6 MiB/s | 141.6 KiB | 00m00s [ 65/185] Installing diffutils-0:3.12-5 100% | 73.8 MiB/s | 1.6 MiB | 00m00s [ 66/185] Installing libeconf-0:0.7.9-3 100% | 80.5 MiB/s | 82.5 KiB | 00m00s [ 67/185] Installing libcap-ng-0:0.9-7. 100% | 158.7 MiB/s | 162.5 KiB | 00m00s [ 68/185] Installing audit-libs-0:4.1.3 100% | 238.8 MiB/s | 489.1 KiB | 00m00s [ 69/185] Installing pam-libs-0:1.7.2-1 100% | 109.8 MiB/s | 225.0 KiB | 00m00s [ 70/185] Installing libcap-0:2.77-2.fc 100% | 27.8 MiB/s | 513.1 KiB | 00m00s [ 71/185] Installing libsemanage-0:3.10 100% | 176.6 MiB/s | 361.7 KiB | 00m00s [ 72/185] Installing libsmartcols-0:2.4 100% | 220.2 MiB/s | 225.5 KiB | 00m00s [ 73/185] Installing alternatives-0:1.3 100% | 5.6 MiB/s | 91.6 KiB | 00m00s [ 74/185] Installing lua-libs-0:5.4.8-5 100% | 161.7 MiB/s | 331.3 KiB | 00m00s [ 75/185] Installing libffi-0:3.5.2-2.f 100% | 153.4 MiB/s | 157.1 KiB | 00m00s [ 76/185] Installing p11-kit-0:0.26.2-1 100% | 98.7 MiB/s | 2.8 MiB | 00m00s [ 77/185] Installing p11-kit-trust-0:0. 100% | 22.6 MiB/s | 531.8 KiB | 00m00s [ 78/185] Installing json-c-0:0.18-8.fc 100% | 136.5 MiB/s | 139.7 KiB | 00m00s [ 79/185] Installing ngtcp2-0:1.19.0-2. 100% | 167.3 MiB/s | 342.5 KiB | 00m00s [ 80/185] Installing openssl-libs-1:3.5 100% | 322.7 MiB/s | 7.4 MiB | 00m00s [ 81/185] Installing coreutils-0:9.9-4. 100% | 181.2 MiB/s | 8.2 MiB | 00m00s [ 82/185] Installing ca-certificates-0: 100% | 1.5 MiB/s | 2.5 MiB | 00m02s [ 83/185] Installing gzip-0:1.14-2.fc44 100% | 22.8 MiB/s | 443.0 KiB | 00m00s [ 84/185] Installing rpm-sequoia-0:1.10 100% | 279.1 MiB/s | 2.2 MiB | 00m00s [ 85/185] Installing libfsverity-0:1.6- 100% | 67.7 MiB/s | 69.3 KiB | 00m00s [ 86/185] Installing libevent-0:2.1.12- 100% | 271.2 MiB/s | 1.1 MiB | 00m00s [ 87/185] Installing ngtcp2-crypto-ossl 100% | 66.7 MiB/s | 68.3 KiB | 00m00s [ 88/185] Installing util-linux-core-0: 100% | 96.0 MiB/s | 2.4 MiB | 00m00s [ 89/185] Installing zip-0:3.0-45.fc44. 100% | 39.4 MiB/s | 765.8 KiB | 00m00s [ 90/185] Installing gnupg2-keyboxd-0:2 100% | 38.2 MiB/s | 234.5 KiB | 00m00s [ 91/185] Installing libpsl-0:0.21.5-7. 100% | 130.3 MiB/s | 133.4 KiB | 00m00s [ 92/185] Installing tar-2:1.35-8.fc44. 100% | 111.3 MiB/s | 3.0 MiB | 00m00s [ 93/185] Installing linkdupes-0:0.7.2- 100% | 36.8 MiB/s | 715.4 KiB | 00m00s [ 94/185] Installing libselinux-utils-0 100% | 67.8 MiB/s | 1.4 MiB | 00m00s [ 95/185] Installing liblastlog2-0:2.41 100% | 22.7 MiB/s | 139.6 KiB | 00m00s [ 96/185] Installing systemd-standalone 100% | 19.0 MiB/s | 330.2 KiB | 00m00s [ 97/185] Installing rpm-libs-0:6.0.1-2 100% | 243.3 MiB/s | 996.5 KiB | 00m00s [ 98/185] Installing libfdisk-0:2.41.3- 100% | 136.6 MiB/s | 419.7 KiB | 00m00s [ 99/185] Installing util-linux-0:2.41. 100% | 139.9 MiB/s | 6.9 MiB | 00m00s [100/185] Installing policycoreutils-0: 100% | 44.9 MiB/s | 1.5 MiB | 00m00s [101/185] Installing selinux-policy-0:4 100% | 1.5 MiB/s | 33.6 KiB | 00m00s [102/185] Installing selinux-policy-tar 100% | 129.9 MiB/s | 14.8 MiB | 00m00s [103/185] Installing zstd-0:1.5.7-5.fc4 100% | 27.6 MiB/s | 565.8 KiB | 00m00s [104/185] Installing libusb1-0:1.0.29-5 100% | 19.6 MiB/s | 180.5 KiB | 00m00s >>> Running sysusers scriptlet: tpm2-tss-0:4.1.3-9.fc44.aarch64 >>> Finished sysusers scriptlet: tpm2-tss-0:4.1.3-9.fc44.aarch64 >>> Scriptlet output: >>> Creating group 'tss' with GID 59. >>> Creating user 'tss' (Account used for TPM access) with UID 59 and GID 59. >>> [105/185] Installing tpm2-tss-0:4.1.3-9 100% | 239.7 MiB/s | 2.2 MiB | 00m00s [106/185] Installing ima-evm-utils-libs 100% | 91.7 MiB/s | 93.9 KiB | 00m00s [107/185] Installing gnupg2-gpg-agent-0 100% | 31.9 MiB/s | 850.6 KiB | 00m00s [108/185] Installing libxml2-0:2.12.10- 100% | 82.2 MiB/s | 1.9 MiB | 00m00s [109/185] Installing nettle-0:3.10.1-3. 100% | 187.5 MiB/s | 768.2 KiB | 00m00s [110/185] Installing gnutls-0:3.8.12-1. 100% | 303.0 MiB/s | 3.6 MiB | 00m00s [111/185] Installing bzip2-0:1.0.8-23.f 100% | 10.1 MiB/s | 175.6 KiB | 00m00s [112/185] Installing add-determinism-0: 100% | 89.6 MiB/s | 2.0 MiB | 00m00s [113/185] Installing build-reproducibil 100% | 1.5 MiB/s | 1.5 KiB | 00m00s [114/185] Installing cpio-0:2.15-9.fc44 100% | 52.2 MiB/s | 1.1 MiB | 00m00s [115/185] Installing ed-0:1.22.5-2.fc44 100% | 9.2 MiB/s | 160.1 KiB | 00m00s [116/185] Installing patch-0:2.8-4.fc44 100% | 15.2 MiB/s | 263.9 KiB | 00m00s [117/185] Installing jansson-0:2.14-4.f 100% | 92.2 MiB/s | 94.4 KiB | 00m00s [118/185] Installing lz4-libs-0:1.10.0- 100% | 193.7 MiB/s | 198.4 KiB | 00m00s [119/185] Installing libarchive-0:3.8.4 100% | 238.5 MiB/s | 977.0 KiB | 00m00s [120/185] Installing libgomp-0:16.0.1-0 100% | 289.8 MiB/s | 593.5 KiB | 00m00s [121/185] Installing libpkgconf-0:2.5.1 100% | 132.0 MiB/s | 135.2 KiB | 00m00s [122/185] Installing pkgconf-0:2.5.1-1. 100% | 6.9 MiB/s | 119.3 KiB | 00m00s [123/185] Installing pkgconf-pkg-config 100% | 110.8 KiB/s | 1.8 KiB | 00m00s [124/185] Installing libtool-ltdl-0:2.5 100% | 92.8 MiB/s | 95.0 KiB | 00m00s [125/185] Installing gdbm-libs-1:1.23-1 100% | 229.9 MiB/s | 235.4 KiB | 00m00s [126/185] Installing cyrus-sasl-lib-0:2 100% | 100.7 MiB/s | 2.4 MiB | 00m00s [127/185] Installing openldap-0:2.6.10- 100% | 186.9 MiB/s | 765.4 KiB | 00m00s [128/185] Installing gnupg2-dirmngr-0:2 100% | 26.4 MiB/s | 648.7 KiB | 00m00s [129/185] Installing gnupg2-0:2.4.9-5.f 100% | 169.9 MiB/s | 6.5 MiB | 00m00s [130/185] Installing rpm-sign-libs-0:6. 100% | 66.8 MiB/s | 68.5 KiB | 00m00s [131/185] Installing gpgverify-0:2.2-4. 100% | 9.2 MiB/s | 9.4 KiB | 00m00s [132/185] Installing xxhash-libs-0:0.8. 100% | 85.1 MiB/s | 87.2 KiB | 00m00s [133/185] Installing libbrotli-0:1.2.0- 100% | 222.5 MiB/s | 911.3 KiB | 00m00s [134/185] Installing libnghttp2-0:1.68. 100% | 194.3 MiB/s | 199.0 KiB | 00m00s [135/185] Installing libnghttp3-0:1.15. 100% | 203.1 MiB/s | 208.0 KiB | 00m00s [136/185] Installing keyutils-libs-0:1. 100% | 97.3 MiB/s | 99.6 KiB | 00m00s [137/185] Installing libcom_err-0:1.47. 100% | 109.5 MiB/s | 112.1 KiB | 00m00s [138/185] Installing libverto-0:0.3.2-1 100% | 69.4 MiB/s | 71.1 KiB | 00m00s [139/185] Installing krb5-libs-0:1.22.2 100% | 253.4 MiB/s | 2.5 MiB | 00m00s [140/185] Installing libcbor-0:0.13.0-2 100% | 137.6 MiB/s | 140.9 KiB | 00m00s [141/185] Installing libfido2-0:1.16.0- 100% | 136.8 MiB/s | 280.1 KiB | 00m00s [142/185] Installing libssh-0:0.12.0-1. 100% | 234.7 MiB/s | 721.0 KiB | 00m00s [143/185] Installing libcurl-0:8.18.0-4 100% | 239.7 MiB/s | 982.0 KiB | 00m00s [144/185] Installing curl-0:8.18.0-4.fc 100% | 17.5 MiB/s | 466.7 KiB | 00m00s [145/185] Installing rpm-0:6.0.1-2.fc44 100% | 65.0 MiB/s | 2.8 MiB | 00m00s [146/185] Installing cmake-srpm-macros- 100% | 785.2 KiB/s | 804.0 B | 00m00s [147/185] Installing efi-srpm-macros-0: 100% | 40.2 MiB/s | 41.2 KiB | 00m00s [148/185] Installing java-srpm-macros-0 100% | 0.0 B/s | 1.1 KiB | 00m00s [149/185] Installing lua-srpm-macros-0: 100% | 0.0 B/s | 1.9 KiB | 00m00s [150/185] Installing tree-sitter-srpm-m 100% | 9.1 MiB/s | 9.3 KiB | 00m00s [151/185] Installing zig-srpm-macros-0: 100% | 0.0 B/s | 1.9 KiB | 00m00s [152/185] Installing filesystem-srpm-ma 100% | 38.0 MiB/s | 38.9 KiB | 00m00s [153/185] Installing elfutils-default-y 100% | 408.6 KiB/s | 2.0 KiB | 00m00s [154/185] Installing elfutils-libs-0:0. 100% | 243.6 MiB/s | 748.2 KiB | 00m00s [155/185] Installing elfutils-debuginfo 100% | 7.5 MiB/s | 146.0 KiB | 00m00s [156/185] Installing binutils-0:2.46-1. 100% | 293.2 MiB/s | 30.5 MiB | 00m00s [157/185] Installing elfutils-0:0.194-3 100% | 130.5 MiB/s | 3.3 MiB | 00m00s [158/185] Installing gdb-minimal-0:17.1 100% | 253.1 MiB/s | 13.7 MiB | 00m00s [159/185] Installing debugedit-0:5.2-6. 100% | 17.4 MiB/s | 321.6 KiB | 00m00s [160/185] Installing rpm-build-libs-0:6 100% | 129.3 MiB/s | 264.8 KiB | 00m00s [161/185] Installing rust-srpm-macros-0 100% | 6.2 MiB/s | 6.4 KiB | 00m00s [162/185] Installing qt6-srpm-macros-0: 100% | 0.0 B/s | 748.0 B | 00m00s [163/185] Installing qt5-srpm-macros-0: 100% | 0.0 B/s | 776.0 B | 00m00s [164/185] Installing perl-srpm-macros-0 100% | 0.0 B/s | 1.1 KiB | 00m00s [165/185] Installing package-notes-srpm 100% | 0.0 B/s | 2.0 KiB | 00m00s [166/185] Installing openblas-srpm-macr 100% | 0.0 B/s | 392.0 B | 00m00s [167/185] Installing ocaml-srpm-macros- 100% | 0.0 B/s | 2.1 KiB | 00m00s [168/185] Installing kernel-srpm-macros 100% | 0.0 B/s | 2.3 KiB | 00m00s [169/185] Installing gnat-srpm-macros-0 100% | 0.0 B/s | 1.3 KiB | 00m00s [170/185] Installing ghc-srpm-macros-0: 100% | 0.0 B/s | 1.0 KiB | 00m00s [171/185] Installing gap-srpm-macros-0: 100% | 0.0 B/s | 2.7 KiB | 00m00s [172/185] Installing fpc-srpm-macros-0: 100% | 0.0 B/s | 420.0 B | 00m00s [173/185] Installing ansible-srpm-macro 100% | 35.4 MiB/s | 36.2 KiB | 00m00s [174/185] Installing redhat-rpm-config- 100% | 61.8 MiB/s | 189.9 KiB | 00m00s [175/185] Installing forge-srpm-macros- 100% | 39.3 MiB/s | 40.3 KiB | 00m00s [176/185] Installing fonts-srpm-macros- 100% | 55.7 MiB/s | 57.0 KiB | 00m00s [177/185] Installing go-srpm-macros-0:3 100% | 61.6 MiB/s | 63.0 KiB | 00m00s [178/185] Installing rpm-build-0:6.0.1- 100% | 29.7 MiB/s | 607.4 KiB | 00m00s [179/185] Installing pyproject-srpm-mac 100% | 2.4 MiB/s | 2.5 KiB | 00m00s [180/185] Installing R-srpm-macros-0:1. 100% | 4.3 MiB/s | 4.4 KiB | 00m00s [181/185] Installing python-srpm-macros 100% | 8.6 MiB/s | 52.9 KiB | 00m00s [182/185] Installing rpm-plugin-selinux 100% | 67.3 MiB/s | 68.9 KiB | 00m00s [183/185] Installing which-0:2.23-4.fc4 100% | 6.8 MiB/s | 125.5 KiB | 00m00s [184/185] Installing shadow-utils-2:4.1 100% | 104.4 MiB/s | 4.5 MiB | 00m00s [185/185] Installing info-0:7.2-9.fc44. 100% | 50.7 KiB/s | 421.9 KiB | 00m08s Complete! Finish: installing minimal buildroot with dnf5 Start: creating root cache Finish: creating root cache Finish: chroot init INFO: Installed packages: INFO: R-srpm-macros-1.3.5-1.fc44.noarch add-determinism-0.7.2-4.fc44.aarch64 alternatives-1.33-5.fc44.aarch64 ansible-srpm-macros-1-20.1.fc44.noarch audit-libs-4.1.3-1.fc44.aarch64 bash-5.3.9-3.fc44.aarch64 binutils-2.46-1.fc44.aarch64 build-reproducibility-srpm-macros-0.7.2-4.fc44.noarch bzip2-1.0.8-23.fc44.aarch64 bzip2-libs-1.0.8-23.fc44.aarch64 ca-certificates-2025.2.80_v9.0.304-5.fc44.noarch cmake-srpm-macros-4.2.3-2.fc44.noarch coreutils-9.9-4.fc44.aarch64 coreutils-common-9.9-4.fc44.aarch64 cpio-2.15-9.fc44.aarch64 crypto-policies-20251128-3.git19878fe.fc44.noarch curl-8.18.0-4.fc44.aarch64 cyrus-sasl-lib-2.1.28-35.fc44.aarch64 debugedit-5.2-6.fc44.aarch64 diffutils-3.12-5.fc44.aarch64 dwz-0.16-3.fc44.aarch64 ed-1.22.5-2.fc44.aarch64 efi-srpm-macros-6-6.fc44.noarch elfutils-0.194-3.fc44.aarch64 elfutils-debuginfod-client-0.194-3.fc44.aarch64 elfutils-default-yama-scope-0.194-3.fc44.noarch elfutils-libelf-0.194-3.fc44.aarch64 elfutils-libs-0.194-3.fc44.aarch64 fedora-gpg-keys-44-0.3.noarch fedora-release-44-0.15.noarch fedora-release-common-44-0.15.noarch fedora-release-identity-basic-44-0.15.noarch fedora-repos-44-0.3.noarch file-5.46-9.fc44.aarch64 file-libs-5.46-9.fc44.aarch64 filesystem-3.18-52.fc44.aarch64 filesystem-srpm-macros-3.18-52.fc44.noarch findutils-4.10.0-7.fc44.aarch64 fonts-srpm-macros-5.0.0-2.fc44.noarch forge-srpm-macros-0.4.0-4.fc44.noarch fpc-srpm-macros-1.3-16.fc44.noarch gap-srpm-macros-2-2.fc44.noarch gawk-5.3.2-3.fc44.aarch64 gdb-minimal-17.1-2.fc44.aarch64 gdbm-libs-1.23-11.fc44.aarch64 ghc-srpm-macros-1.10-1.fc44.noarch glibc-2.43-1.fc44.aarch64 glibc-common-2.43-1.fc44.aarch64 glibc-gconv-extra-2.43-1.fc44.aarch64 glibc-minimal-langpack-2.43-1.fc44.aarch64 gmp-6.3.0-5.fc44.aarch64 gnat-srpm-macros-7-2.fc44.noarch gnulib-l10n-20241231-2.fc44.noarch gnupg2-2.4.9-5.fc44.aarch64 gnupg2-dirmngr-2.4.9-5.fc44.aarch64 gnupg2-gpg-agent-2.4.9-5.fc44.aarch64 gnupg2-gpgconf-2.4.9-5.fc44.aarch64 gnupg2-keyboxd-2.4.9-5.fc44.aarch64 gnupg2-verify-2.4.9-5.fc44.aarch64 gnutls-3.8.12-1.fc44.aarch64 go-srpm-macros-3.8.0-2.fc44.noarch gpg-pubkey-36f612dcf27f7d1a48a835e4dbfcf71c6d9f90a6-6786af3b gpgverify-2.2-4.fc44.noarch grep-3.12-3.fc44.aarch64 gzip-1.14-2.fc44.aarch64 ima-evm-utils-libs-1.6.2-8.fc44.aarch64 info-7.2-9.fc44.aarch64 jansson-2.14-4.fc44.aarch64 java-srpm-macros-1-8.fc44.noarch json-c-0.18-8.fc44.aarch64 kernel-srpm-macros-1.0-28.fc44.noarch keyutils-libs-1.6.3-7.fc44.aarch64 krb5-libs-1.22.2-2.fc44.aarch64 libacl-2.3.2-6.fc44.aarch64 libarchive-3.8.4-2.fc44.aarch64 libassuan-2.5.7-5.fc44.aarch64 libattr-2.5.2-8.fc44.aarch64 libblkid-2.41.3-12.fc44.aarch64 libbrotli-1.2.0-3.fc44.aarch64 libcap-2.77-2.fc44.aarch64 libcap-ng-0.9-7.fc44.aarch64 libcbor-0.13.0-2.fc44.aarch64 libcom_err-1.47.3-4.fc44.aarch64 libcurl-8.18.0-4.fc44.aarch64 libeconf-0.7.9-3.fc44.aarch64 libevent-2.1.12-17.fc44.aarch64 libfdisk-2.41.3-12.fc44.aarch64 libffi-3.5.2-2.fc44.aarch64 libfido2-1.16.0-5.fc44.aarch64 libfsverity-1.6-4.fc44.aarch64 libgcc-16.0.1-0.9.fc44.aarch64 libgcrypt-1.12.1-1.fc44.aarch64 libgomp-16.0.1-0.9.fc44.aarch64 libgpg-error-1.58-2.fc44.aarch64 libidn2-2.3.8-3.fc44.aarch64 libksba-1.6.7-5.fc44.aarch64 liblastlog2-2.41.3-12.fc44.aarch64 libmount-2.41.3-12.fc44.aarch64 libnghttp2-1.68.0-3.fc44.aarch64 libnghttp3-1.15.0-1.fc44.aarch64 libpkgconf-2.5.1-1.fc44.aarch64 libpsl-0.21.5-7.fc44.aarch64 libselinux-3.10-1.fc44.aarch64 libselinux-utils-3.10-1.fc44.aarch64 libsemanage-3.10-1.fc44.aarch64 libsepol-3.10-1.fc44.aarch64 libsmartcols-2.41.3-12.fc44.aarch64 libssh-0.12.0-1.fc44.aarch64 libssh-config-0.12.0-1.fc44.noarch libstdc++-16.0.1-0.9.fc44.aarch64 libtasn1-4.20.0-3.fc44.aarch64 libtool-ltdl-2.5.4-10.fc44.aarch64 libunistring-1.1-11.fc44.aarch64 libusb1-1.0.29-5.fc44.aarch64 libuuid-2.41.3-12.fc44.aarch64 libverto-0.3.2-12.fc44.aarch64 libxcrypt-4.5.2-3.fc44.aarch64 libxml2-2.12.10-6.fc44.aarch64 libzstd-1.5.7-5.fc44.aarch64 linkdupes-0.7.2-4.fc44.aarch64 lua-libs-5.4.8-5.fc44.aarch64 lua-srpm-macros-1-17.fc44.noarch lz4-libs-1.10.0-4.fc44.aarch64 mpfr-4.2.2-3.fc44.aarch64 ncurses-base-6.6-1.fc44.noarch ncurses-libs-6.6-1.fc44.aarch64 nettle-3.10.1-3.fc44.aarch64 ngtcp2-1.19.0-2.fc44.aarch64 ngtcp2-crypto-ossl-1.19.0-2.fc44.aarch64 npth-1.8-4.fc44.aarch64 ocaml-srpm-macros-11-3.fc44.noarch openblas-srpm-macros-2-21.fc44.noarch openldap-2.6.10-7.fc44.aarch64 openssl-libs-3.5.5-1.fc44.aarch64 p11-kit-0.26.2-1.fc44.aarch64 p11-kit-trust-0.26.2-1.fc44.aarch64 package-notes-srpm-macros-0.5-16.fc44.noarch pam-libs-1.7.2-1.fc44.aarch64 patch-2.8-4.fc44.aarch64 pcre2-10.47-1.fc44.1.aarch64 pcre2-syntax-10.47-1.fc44.1.noarch perl-srpm-macros-1-61.fc44.noarch pkgconf-2.5.1-1.fc44.aarch64 pkgconf-m4-2.5.1-1.fc44.noarch pkgconf-pkg-config-2.5.1-1.fc44.aarch64 policycoreutils-3.10-1.fc44.aarch64 popt-1.19-10.fc44.aarch64 publicsuffix-list-dafsa-20260116-1.fc44.noarch pyproject-srpm-macros-1.18.6-2.fc44.noarch python-srpm-macros-3.14-10.fc44.noarch qt5-srpm-macros-5.15.18-2.fc44.noarch qt6-srpm-macros-6.10.2-1.fc44.noarch readline-8.3-4.fc44.aarch64 redhat-rpm-config-343-19.fc44.noarch rpm-6.0.1-2.fc44.aarch64 rpm-build-6.0.1-2.fc44.aarch64 rpm-build-libs-6.0.1-2.fc44.aarch64 rpm-libs-6.0.1-2.fc44.aarch64 rpm-plugin-selinux-6.0.1-2.fc44.aarch64 rpm-sequoia-1.10.1-1.fc44.aarch64 rpm-sign-libs-6.0.1-2.fc44.aarch64 rust-srpm-macros-28.4-3.fc44.noarch sed-4.9-7.fc44.aarch64 selinux-policy-42.24-1.fc44.noarch selinux-policy-targeted-42.24-1.fc44.noarch setup-2.15.0-28.fc44.noarch shadow-utils-4.19.0-6.fc44.aarch64 sqlite-libs-3.51.2-1.fc44.aarch64 systemd-libs-259.3-1.fc44.aarch64 systemd-standalone-sysusers-259.3-1.fc44.aarch64 tar-1.35-8.fc44.aarch64 tpm2-tss-4.1.3-9.fc44.aarch64 tree-sitter-srpm-macros-0.4.2-2.fc44.noarch unzip-6.0-69.fc44.aarch64 util-linux-2.41.3-12.fc44.aarch64 util-linux-core-2.41.3-12.fc44.aarch64 which-2.23-4.fc44.aarch64 xxhash-libs-0.8.3-4.fc44.aarch64 xz-5.8.2-2.fc44.aarch64 xz-libs-5.8.2-2.fc44.aarch64 zig-srpm-macros-1-8.fc44.noarch zip-3.0-45.fc44.aarch64 zlib-ng-compat-2.3.3-2.fc44.aarch64 zstd-1.5.7-5.fc44.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.fc44.src.rpm Finish: rpmbuild -bs INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-44-aarch64-1773342969.327066/root/var/log/dnf5.log INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz /bin/tar: Removing leading `/' from member names Finish: buildsrpm INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-j0rzygi4/aida-x/aidax.spec) Config(child) 0 minutes 28 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.fc44.src.rpm) Config(fedora-44-aarch64) Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-44-aarch64-bootstrap-1773342969.327066/root. INFO: reusing tmpfs at /var/lib/mock/fedora-44-aarch64-bootstrap-1773342969.327066/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-44-aarch64-1773342969.327066/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-6.0.1-2.fc44.aarch64 rpm-sequoia-1.10.1-1.fc44.aarch64 dnf5-5.3.0.0-7.fc44.aarch64 dnf5-plugins-5.3.0.0-7.fc44.aarch64 Finish: chroot init Start: build phase for aida-x-1.1.0-1.fc44.src.rpm Start: build setup for aida-x-1.1.0-1.fc44.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.fc44.src.rpm Updating and loading repositories: Additional repo https_download1_rpmfus 100% | 13.8 KiB/s | 3.7 KiB | 00m00s Copr repository 100% | 5.7 KiB/s | 1.5 KiB | 00m00s fedora 100% | 9.0 KiB/s | 6.5 KiB | 00m01s updates 100% | 27.6 KiB/s | 14.1 KiB | 00m01s Repositories loaded. Package Arch Version Repository Size Installing: alsa-lib-devel aarch64 0:1.2.15.3-3.fc44 fedora 17.4 MiB cmake aarch64 0:4.2.3-2.fc44 fedora 31.7 MiB dbus-devel aarch64 1:1.16.2-1.fc44 fedora 131.7 KiB fftw-devel aarch64 0:3.3.10-17.fc44 fedora 282.2 KiB gcc aarch64 0:16.0.1-0.9.fc44 fedora 111.7 MiB gcc-c++ aarch64 0:16.0.1-0.9.fc44 fedora 44.7 MiB liblo-devel aarch64 0:0.34-3.fc44 fedora 1.9 MiB lv2-devel aarch64 0:1.18.10-4.fc44 fedora 448.9 KiB mesa-libGL-devel aarch64 0:25.3.6-2.fc44 fedora 80.8 KiB pulseaudio-libs-devel aarch64 0:17.0-9.fc44 fedora 4.8 MiB sdl2-compat-devel aarch64 0:2.32.64-1.fc44 fedora 3.3 MiB Installing dependencies: SDL3 aarch64 0:3.4.0-3.fc44 fedora 3.1 MiB abattis-cantarell-vf-fonts noarch 0:0.301-17.fc44 fedora 192.7 KiB adwaita-cursor-theme noarch 0:50~rc-1.fc44 fedora 11.4 MiB adwaita-icon-theme noarch 0:50~rc-1.fc44 fedora 1.1 MiB adwaita-icon-theme-legacy noarch 0:46.2-7.fc44 fedora 2.1 MiB alsa-lib aarch64 0:1.2.15.3-3.fc44 fedora 1.5 MiB annobin-docs noarch 0:13.05-3.fc44 fedora 99.2 KiB annobin-plugin-gcc aarch64 0:13.05-3.fc44 fedora 707.7 KiB at-spi2-atk aarch64 0:2.59.90-1.fc44 fedora 359.7 KiB at-spi2-core aarch64 0:2.59.90-1.fc44 fedora 1.7 MiB atk aarch64 0:2.59.90-1.fc44 fedora 296.8 KiB avahi-glib aarch64 0:0.9~rc2-8.fc44 fedora 67.4 KiB avahi-libs aarch64 0:0.9~rc2-8.fc44 fedora 229.9 KiB bubblewrap aarch64 0:0.11.0-4.fc44 fedora 182.7 KiB cairo aarch64 0:1.18.4-6.fc44 fedora 1.8 MiB cairo-gobject aarch64 0:1.18.4-6.fc44 fedora 67.0 KiB cmake-data noarch 0:4.2.3-2.fc44 fedora 9.3 MiB cmake-filesystem aarch64 0:4.2.3-2.fc44 fedora 0.0 B cmake-rpm-macros noarch 0:4.2.3-2.fc44 fedora 8.4 KiB colord-libs aarch64 0:1.4.8-4.fc44 fedora 969.8 KiB cpp aarch64 0:16.0.1-0.9.fc44 fedora 40.7 MiB cups-filesystem noarch 1:2.4.16-6.fc44 fedora 0.0 B cups-libs aarch64 1:2.4.16-6.fc44 fedora 666.7 KiB dbus aarch64 1:1.16.2-1.fc44 fedora 0.0 B dbus-libs aarch64 1:1.16.2-1.fc44 fedora 397.5 KiB default-fonts-core-sans noarch 0:4.2-6.fc44 fedora 11.9 KiB emacs-filesystem aarch64 1:30.2-2.fc44 fedora 0.0 B expat aarch64 0:2.7.3-2.fc44 fedora 360.7 KiB fftw aarch64 0:3.3.10-17.fc44 fedora 220.9 KiB fftw-libs aarch64 0:3.3.10-17.fc44 fedora 0.0 B fftw-libs-double aarch64 0:3.3.10-17.fc44 fedora 1.8 MiB fftw-libs-long aarch64 0:3.3.10-17.fc44 fedora 2.3 MiB fftw-libs-single aarch64 0:3.3.10-17.fc44 fedora 1.9 MiB flac-libs aarch64 0:1.5.0-8.fc44 fedora 619.0 KiB fontconfig aarch64 0:2.17.0-4.fc44 fedora 1.2 MiB fonts-filesystem noarch 1:5.0.0-2.fc44 fedora 0.0 B freetype aarch64 0:2.14.1-2.fc44 fedora 878.5 KiB fribidi aarch64 0:1.0.16-4.fc44 fedora 246.0 KiB gcc-plugin-annobin aarch64 0:16.0.1-0.9.fc44 fedora 69.2 KiB gdk-pixbuf2 aarch64 0:2.44.4-2.fc44 fedora 2.6 MiB glib2 aarch64 0:2.87.3-1.fc44 fedora 15.7 MiB glib2-devel aarch64 0:2.87.3-1.fc44 fedora 16.0 MiB glibc-devel aarch64 0:2.43-1.fc44 fedora 2.3 MiB glycin-libs aarch64 0:2.0.5-4.fc44 fedora 4.0 MiB glycin-loaders aarch64 0:2.0.5-4.fc44 fedora 11.8 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0:1.0.12-4.fc44 fedora 120.8 KiB libXau-devel aarch64 0:1.0.12-4.fc44 fedora 7.3 KiB libXcomposite aarch64 0:0.4.6-7.fc44 fedora 96.3 KiB libXcursor aarch64 0:1.2.3-4.fc44 fedora 69.3 KiB libXdamage aarch64 0:1.1.6-7.fc44 fedora 95.5 KiB libXext aarch64 0:1.3.6-5.fc44 fedora 145.7 KiB libXfixes aarch64 0:6.0.1-7.fc44 fedora 70.1 KiB libXft aarch64 0:2.3.8-10.fc44 fedora 192.2 KiB libXi aarch64 0:1.8.2-4.fc44 fedora 136.4 KiB libXinerama aarch64 0:1.1.5-10.fc44 fedora 70.8 KiB libXrandr aarch64 0:1.5.4-7.fc44 fedora 71.5 KiB libXrender aarch64 0:0.9.12-4.fc44 fedora 69.9 KiB libXtst aarch64 0:1.2.5-4.fc44 fedora 73.3 KiB libXxf86vm aarch64 0:1.1.6-4.fc44 fedora 69.1 KiB libaom aarch64 0:3.13.1-5.fc44 fedora 3.8 MiB libasan aarch64 0:16.0.1-0.9.fc44 fedora 1.5 MiB libasyncns aarch64 0:0.8-32.fc44 fedora 99.3 KiB libatomic aarch64 0:16.0.1-0.9.fc44 fedora 77.7 KiB libblkid-devel aarch64 0:2.41.3-12.fc44 fedora 44.9 KiB libcloudproviders aarch64 0:0.4.0-1.fc44 fedora 156.3 KiB libdatrie aarch64 0:0.2.14-2.fc44 fedora 93.7 KiB libdav1d aarch64 0:1.5.3-1.fc44 fedora 856.5 KiB libdecor aarch64 0:0.2.5-2.fc44 fedora 208.8 KiB libdrm aarch64 0:2.4.131-1.fc44 fedora 763.2 KiB libdrm-devel aarch64 0:2.4.131-1.fc44 fedora 788.9 KiB libedit aarch64 0:3.1-58.20251016cvs.fc44 fedora 280.1 KiB libepoxy aarch64 0:1.5.10-12.fc44 fedora 1.2 MiB libffi-devel aarch64 0:3.5.2-2.fc44 fedora 30.7 KiB libglvnd aarch64 1:1.7.0-9.fc44 fedora 1.3 MiB libglvnd-core-devel aarch64 1:1.7.0-9.fc44 fedora 40.3 KiB libglvnd-devel aarch64 1:1.7.0-9.fc44 fedora 2.1 MiB libglvnd-egl aarch64 1:1.7.0-9.fc44 fedora 68.7 KiB libglvnd-gles aarch64 1:1.7.0-9.fc44 fedora 394.0 KiB libglvnd-glx aarch64 1:1.7.0-9.fc44 fedora 1.0 MiB libglvnd-opengl aarch64 1:1.7.0-9.fc44 fedora 329.0 KiB libgusb aarch64 0:0.4.9-5.fc44 fedora 181.9 KiB libheif aarch64 0:1.21.2-1.fc44 fedora 1.7 MiB libicu aarch64 0:77.1-2.fc44 fedora 36.5 MiB libjpeg-turbo aarch64 0:3.1.2-2.fc44 fedora 740.3 KiB libjxl aarch64 1:0.11.1-8.fc44 fedora 2.6 MiB liblo aarch64 0:0.34-3.fc44 fedora 381.5 KiB libmount-devel aarch64 0:2.41.3-12.fc44 fedora 65.5 KiB libmpc aarch64 0:1.3.1-9.fc44 fedora 152.5 KiB libogg aarch64 2:1.3.6-2.fc44 fedora 77.7 KiB libopenjph aarch64 0:0.25.3-3.fc44 fedora 325.6 KiB libpciaccess aarch64 0:0.16-17.fc44 fedora 72.4 KiB libpciaccess-devel aarch64 0:0.16-17.fc44 fedora 15.3 KiB libpng aarch64 2:1.6.55-1.fc44 fedora 269.7 KiB librsvg2 aarch64 0:2.61.0-6.fc44 fedora 4.6 MiB libseccomp aarch64 0:2.6.0-3.fc44 fedora 244.9 KiB libselinux-devel aarch64 0:3.10-1.fc44 fedora 122.2 KiB libsepol-devel aarch64 0:3.10-1.fc44 fedora 121.5 KiB libsndfile aarch64 0:1.2.2-11.fc44 fedora 562.0 KiB libsoup3 aarch64 0:3.6.6-1.fc44 fedora 1.5 MiB libstdc++-devel aarch64 0:16.0.1-0.9.fc44 fedora 38.0 MiB libstemmer aarch64 0:3.0.1-11.fc44 fedora 725.3 KiB libthai aarch64 0:0.1.30-2.fc44 fedora 824.9 KiB libtinysparql aarch64 0:3.11~rc-1.fc44 fedora 1.1 MiB libubsan aarch64 0:16.0.1-0.9.fc44 fedora 475.9 KiB libuv aarch64 1:1.51.0-3.fc44 fedora 605.9 KiB libvorbis aarch64 1:1.3.7-14.fc44 fedora 845.2 KiB libwayland-client aarch64 0:1.24.0-3.fc44 fedora 69.9 KiB libwayland-cursor aarch64 0:1.24.0-3.fc44 fedora 81.2 KiB libwayland-egl aarch64 0:1.24.0-3.fc44 fedora 68.3 KiB libwebp aarch64 0:1.6.0-3.fc44 fedora 816.8 KiB libxcb aarch64 0:1.17.0-7.fc44 fedora 2.1 MiB libxcb-devel aarch64 0:1.17.0-7.fc44 fedora 2.6 MiB libxcrypt-devel aarch64 0:4.5.2-3.fc44 fedora 31.0 KiB libxkbcommon aarch64 0:1.13.1-2.fc44 fedora 471.5 KiB libxshmfence aarch64 0:1.3.2-8.fc44 fedora 68.4 KiB llvm-filesystem aarch64 0:22.1.0-3.fc44 fedora 0.0 B llvm-libs aarch64 0:22.1.0-3.fc44 fedora 135.0 MiB lm_sensors-libs aarch64 0:3.6.0-24.fc44 fedora 93.7 KiB lv2 aarch64 0:1.18.10-4.fc44 fedora 334.8 KiB lzo aarch64 0:2.10-16.fc44 fedora 162.8 KiB make aarch64 1:4.4.1-12.fc44 fedora 1.8 MiB mesa-dri-drivers aarch64 0:25.3.6-2.fc44 fedora 37.1 MiB mesa-filesystem aarch64 0:25.3.6-2.fc44 fedora 3.6 KiB mesa-libEGL aarch64 0:25.3.6-2.fc44 fedora 330.2 KiB mesa-libGL aarch64 0:25.3.6-2.fc44 fedora 333.8 KiB mesa-libGLU aarch64 0:9.0.3-8.fc44 fedora 329.5 KiB mesa-libGLU-devel aarch64 0:9.0.3-8.fc44 fedora 17.0 KiB mesa-libgbm aarch64 0:25.3.6-2.fc44 fedora 67.7 KiB mpdecimal aarch64 0:4.0.1-3.fc44 fedora 281.1 KiB mpg123-libs aarch64 0:1.32.10-3.fc44 fedora 754.1 KiB ninja-build aarch64 0:1.13.2-2.fc44 fedora 467.8 KiB noopenh264 aarch64 0:2.6.0-4.fc44 fedora 95.1 KiB openjpeg aarch64 0:2.5.4-3.fc44 fedora 412.2 KiB opus aarch64 0:1.6-2.fc44 fedora 455.8 KiB pango aarch64 0:1.57.0-4.fc44 fedora 1.2 MiB pcre2-devel aarch64 0:10.47-1.fc44.1 fedora 2.1 MiB pcre2-utf16 aarch64 0:10.47-1.fc44.1 fedora 582.9 KiB pcre2-utf32 aarch64 0:10.47-1.fc44.1 fedora 582.9 KiB pixman aarch64 0:0.46.2-3.fc44 fedora 654.3 KiB pulseaudio-libs aarch64 0:17.0-9.fc44 fedora 3.4 MiB pulseaudio-libs-glib2 aarch64 0:17.0-9.fc44 fedora 67.6 KiB python-pip-wheel noarch 0:25.3-2.fc44 fedora 1.2 MiB python3 aarch64 0:3.14.3-1.fc44 fedora 84.8 KiB python3-libs aarch64 0:3.14.3-1.fc44 fedora 45.3 MiB python3-markdown noarch 0:3.10.2-1.fc44 fedora 761.9 KiB python3-packaging noarch 0:25.0-8.fc44 fedora 607.4 KiB python3-pyparsing noarch 0:3.1.2-15.fc44 fedora 1.0 MiB python3-rdflib noarch 0:7.1.4-7.fc44 fedora 4.7 MiB rav1e-libs aarch64 0:0.8.1-3.fc44 fedora 2.1 MiB rhash aarch64 0:1.4.5-4.fc44 fedora 394.5 KiB sdl2-compat aarch64 0:2.32.64-1.fc44 fedora 484.3 KiB shared-mime-info aarch64 0:2.4-3.fc44 fedora 5.3 MiB spirv-tools-libs aarch64 0:2026.1-1.fc44 fedora 5.7 MiB svt-av1-libs aarch64 0:3.1.2-2.fc44 fedora 3.4 MiB sysprof-capture-devel aarch64 0:50~rc-1.fc44 fedora 770.1 KiB systemd-devel aarch64 0:259.3-1.fc44 fedora 600.5 KiB systemd-rpm-macros noarch 0:259.3-1.fc44 fedora 8.5 KiB tzdata noarch 0:2025c-2.fc44 fedora 1.2 MiB vim-filesystem noarch 2:9.2.045-1.fc44 fedora 40.0 B xkeyboard-config noarch 0:2.46-2.fc44 fedora 6.4 MiB xml-common noarch 0:0.6.3-68.fc44 fedora 78.4 KiB xorg-x11-proto-devel noarch 0:2025.1-2.fc44 fedora 1.8 MiB xprop aarch64 0:1.2.8-5.fc44 fedora 78.5 KiB zlib-ng-compat-devel aarch64 0:2.3.3-2.fc44 fedora 107.0 KiB Transaction Summary: Installing: 194 packages Total size of inbound packages is 215 MiB. Need to download 215 MiB. After this operation, 791 MiB extra will be used (install 791 MiB, remove 0 B). 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mesa-dri-drivers-0:25.3.6-2.f 100% | 74.6 MiB/s | 9.8 MiB | 00m00s [104/194] hwdata-0:0.404-1.fc44.noarch 100% | 16.8 MiB/s | 1.7 MiB | 00m00s [105/194] libdecor-0:0.2.5-2.fc44.aarch 100% | 1.8 MiB/s | 56.8 KiB | 00m00s [106/194] libxshmfence-0:1.3.2-8.fc44.a 100% | 499.1 KiB/s | 13.5 KiB | 00m00s [107/194] lm_sensors-libs-0:3.6.0-24.fc 100% | 1.1 MiB/s | 40.9 KiB | 00m00s [108/194] mesa-filesystem-0:25.3.6-2.fc 100% | 309.0 KiB/s | 10.5 KiB | 00m00s [109/194] spirv-tools-libs-0:2026.1-1.f 100% | 27.0 MiB/s | 1.6 MiB | 00m00s [110/194] cairo-0:1.18.4-6.fc44.aarch64 100% | 19.6 MiB/s | 700.7 KiB | 00m00s [111/194] llvm-libs-0:22.1.0-3.fc44.aar 100% | 94.4 MiB/s | 32.8 MiB | 00m00s [112/194] libwayland-cursor-0:1.24.0-3. 100% | 75.5 KiB/s | 19.0 KiB | 00m00s [113/194] pango-0:1.57.0-4.fc44.aarch64 100% | 6.0 MiB/s | 350.0 KiB | 00m00s [114/194] libedit-0:3.1-58.20251016cvs. 100% | 1.8 MiB/s | 105.4 KiB | 00m00s [115/194] gtk3-0:3.24.51-3.fc44.aarch64 100% | 18.6 MiB/s | 5.9 MiB | 00m00s 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dbus-1:1.16.2-1.fc44.aarch64 100% | 495.9 KiB/s | 7.4 KiB | 00m00s [168/194] google-noto-sans-vf-fonts-0:2 100% | 13.6 MiB/s | 614.9 KiB | 00m00s [169/194] libicu-0:77.1-2.fc44.aarch64 100% | 78.0 MiB/s | 10.6 MiB | 00m00s [170/194] libXtst-0:1.2.5-4.fc44.aarch6 100% | 828.4 KiB/s | 20.7 KiB | 00m00s [171/194] xprop-0:1.2.8-5.fc44.aarch64 100% | 1.1 MiB/s | 34.9 KiB | 00m00s [172/194] libseccomp-0:2.6.0-3.fc44.aar 100% | 2.3 MiB/s | 76.7 KiB | 00m00s [173/194] google-noto-fonts-common-0:20 100% | 682.1 KiB/s | 17.7 KiB | 00m00s [174/194] bubblewrap-0:0.11.0-4.fc44.aa 100% | 2.4 MiB/s | 64.9 KiB | 00m00s [175/194] glycin-loaders-0:2.0.5-4.fc44 100% | 39.8 MiB/s | 2.7 MiB | 00m00s [176/194] libheif-0:1.21.2-1.fc44.aarch 100% | 12.5 MiB/s | 588.5 KiB | 00m00s [177/194] libjxl-1:0.11.1-8.fc44.aarch6 100% | 18.5 MiB/s | 852.4 KiB | 00m00s [178/194] librsvg2-0:2.61.0-6.fc44.aarc 100% | 36.2 MiB/s | 1.8 MiB | 00m00s [179/194] libdav1d-0:1.5.3-1.fc44.aarch 100% | 9.9 MiB/s | 354.3 KiB | 00m00s 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KiB | 00m00s [193/194] cmake-rpm-macros-0:4.2.3-2.fc 100% | 409.2 KiB/s | 13.9 KiB | 00m00s [194/194] ninja-build-0:1.13.2-2.fc44.a 100% | 5.1 MiB/s | 183.3 KiB | 00m00s -------------------------------------------------------------------------------- [194/194] Total 100% | 62.6 MiB/s | 215.0 MiB | 00m03s Running transaction [ 1/196] Verify package files 100% | 282.0 B/s | 194.0 B | 00m01s [ 2/196] Prepare transaction 100% | 1.1 KiB/s | 194.0 B | 00m00s [ 3/196] Installing glib2-0:2.87.3-1.f 100% | 242.7 MiB/s | 15.8 MiB | 00m00s [ 4/196] Installing dbus-libs-1:1.16.2 100% | 194.6 MiB/s | 398.6 KiB | 00m00s [ 5/196] Installing expat-0:2.7.3-2.fc 100% | 19.7 MiB/s | 362.8 KiB | 00m00s [ 6/196] Installing libglvnd-1:1.7.0-9 100% | 443.4 MiB/s | 1.3 MiB | 00m00s [ 7/196] Installing cmake-filesystem-0 100% | 4.4 MiB/s | 9.1 KiB | 00m00s [ 8/196] Installing libwayland-client- 100% | 69.4 MiB/s | 71.1 KiB | 00m00s [ 9/196] Installing libX11-xcb-0:1.8.1 100% | 0.0 B/s | 67.7 KiB | 00m00s [ 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Building target platforms: aarch64 Building for target aarch64 setting SOURCE_DATE_EPOCH=1706745600 Wrote: /builddir/build/SRPMS/aida-x-1.1.0-1.fc44.src.rpm Updating and loading repositories: Additional repo https_download1_rpmfus 100% | 1.2 KiB/s | 3.7 KiB | 00m03s Copr repository 100% | 520.0 B/s | 1.5 KiB | 00m03s fedora 100% | 2.1 KiB/s | 6.5 KiB | 00m03s updates 100% | 4.6 KiB/s | 14.1 KiB | 00m03s Repositories loaded. Package "sdl2-compat-devel-2.32.64-1.fc44.aarch64" is already installed. Package "alsa-lib-devel-1.2.15.3-3.fc44.aarch64" is already installed. Package "cmake-4.2.3-2.fc44.aarch64" is already installed. Package "dbus-devel-1:1.16.2-1.fc44.aarch64" is already installed. Package "fftw-devel-3.3.10-17.fc44.aarch64" is already installed. Package "gcc-16.0.1-0.9.fc44.aarch64" is already installed. Package "gcc-c++-16.0.1-0.9.fc44.aarch64" is already installed. Package "liblo-devel-0.34-3.fc44.aarch64" is already installed. Package "lv2-devel-1.18.10-4.fc44.aarch64" is already installed. Package "mesa-libGL-devel-25.3.6-2.fc44.aarch64" is already installed. Package "pulseaudio-libs-devel-17.0-9.fc44.aarch64" is already installed. Nothing to do. Finish: build setup for aida-x-1.1.0-1.fc44.src.rpm Start: rpmbuild aida-x-1.1.0-1.fc44.src.rpm Building target platforms: aarch64 Building for target aarch64 setting SOURCE_DATE_EPOCH=1706745600 Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.9TzxSY Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.uP5yaA + 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.9YSd5X + 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-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd AIDA-X + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + /usr/bin/cmake -S . -B redhat-linux-build -G Ninja -DCMAKE_C_FLAGS_RELEASE:STRING=-DNDEBUG -DCMAKE_CXX_FLAGS_RELEASE:STRING=-DNDEBUG -DCMAKE_Fortran_FLAGS_RELEASE:STRING=-DNDEBUG -DCMAKE_VERBOSE_MAKEFILE:BOOL=ON -DCMAKE_INSTALL_DO_STRIP:BOOL=OFF -DCMAKE_INSTALL_PREFIX:PATH=/usr -DCMAKE_INSTALL_FULL_SBINDIR:PATH=/usr/bin -DCMAKE_INSTALL_SBINDIR:PATH=bin -DINCLUDE_INSTALL_DIR:PATH=/usr/include -DLIB_INSTALL_DIR:PATH=/usr/lib64 -DSYSCONF_INSTALL_DIR:PATH=/etc -DSHARE_INSTALL_PREFIX:PATH=/usr/share -DLIB_SUFFIX=64 -DBUILD_SHARED_LIBS:BOOL=ON -DCMAKE_POLICY_VERSION_MINIMUM=3.5 -- The C compiler identification is GNU 16.0.1 -- The CXX compiler identification is GNU 16.0.1 -- 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/dpf/CMakeLists.txt:6 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument value. Or, use the ... syntax to tell CMake that the project requires at least but has been updated to work with policies introduced by or earlier. CMake Deprecation Warning at modules/rtneural/CMakeLists.txt:1 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument value. Or, use the ... syntax to tell CMake that the project requires at least but has been updated to work with policies introduced by or earlier. -- RTNeural -- Using Eigen backend (Default) -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success -- Found Threads: TRUE -- Found OpenGL: /usr/lib64/libOpenGL.so -- Found PkgConfig: /usr/bin/pkg-config (found version "2.5.1") -- Checking for module 'dbus-1' -- Found dbus-1, version 1.16.2 -- Found X11: /usr/include -- Looking for XOpenDisplay in /usr/lib64/libX11.so -- Looking for XOpenDisplay in /usr/lib64/libX11.so - found -- Looking for gethostbyname -- Looking for gethostbyname - found -- Looking for connect -- Looking for connect - found -- Looking for remove -- Looking for remove - found -- Looking for shmat -- Looking for shmat - found CMake Warning (dev) at modules/dpf/cmake/DPF-plugin.cmake:385 (add_custom_command): The following keywords are not supported when using add_custom_command(TARGET): DEPENDS. Policy CMP0175 is not set: add_custom_command() rejects invalid arguments. Run "cmake --help-policy CMP0175" for policy details. Use the cmake_policy command to set the policy and suppress this warning. Call Stack (most recent call first): modules/dpf/cmake/DPF-plugin.cmake:188 (dpf__build_lv2) CMakeLists.txt:44 (dpf_add_plugin) This warning is for project developers. Use -Wno-dev to suppress it. -- Checking for module 'sdl2' -- Found sdl2, version 2.32.64 -- Checking for module 'alsa' -- Found alsa, version 1.2.15.3 -- Checking for module 'libpulse-simple' -- Found libpulse-simple, version 17.0 CMake Warning (dev) at CMakeLists.txt:149 (add_custom_command): The following keywords are not supported when using add_custom_command(OUTPUT): PRE_BUILD. Policy CMP0175 is not set: add_custom_command() rejects invalid arguments. Run "cmake --help-policy CMP0175" for policy details. Use the cmake_policy command to set the policy and suppress this warning. This warning is for project developers. Use -Wno-dev to suppress it. CMake Warning (dev) at CMakeLists.txt:157 (add_custom_command): The following keywords are not supported when using add_custom_command(OUTPUT): PRE_BUILD. Policy CMP0175 is not set: add_custom_command() rejects invalid arguments. Run "cmake --help-policy CMP0175" for policy details. Use the cmake_policy command to set the policy and suppress this warning. This warning is for project developers. Use -Wno-dev to suppress it. -- Configuring done (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 CMAKE_INSTALL_FULL_SBINDIR CMAKE_INSTALL_SBINDIR CMAKE_VERBOSE_MAKEFILE 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/ninja-build -v -j 4 [1/76] /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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/Application.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Application.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Application.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/Application.cpp [2/76] /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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/Color.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Color.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Color.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/Color.cpp [3/76] /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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/ApplicationPrivateData.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/ApplicationPrivateData.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/ApplicationPrivateData.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/ApplicationPrivateData.cpp In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/ApplicationPrivateData.cpp:20: /usr/include/c++/16/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ [4/76] /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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/EventHandlers.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/EventHandlers.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/EventHandlers.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/EventHandlers.cpp [5/76] /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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/ImageBase.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/ImageBase.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/ImageBase.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/ImageBase.cpp [6/76] /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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/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 [7/76] /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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/Layout.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Layout.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Layout.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/Layout.cpp [8/76] /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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 [9/76] /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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/SubWidget.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/SubWidget.cpp.o.d -o 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 [10/76] /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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 [11/76] /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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 In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/TopLevelWidgetPrivateData.cpp:19: /usr/include/c++/16/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ [12/76] /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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 [13/76] /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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 [14/76] /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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/Window.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Window.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Window.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/Window.cpp In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/Window.cpp:17: /usr/include/c++/16/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ [15/76] /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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 In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.cpp:17: /usr/include/c++/16/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ [16/76] /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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 [17/76] /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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/Geometry.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Geometry.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Geometry.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/Geometry.cpp [18/76] /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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 In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/OpenGL.cpp:29: /usr/include/c++/16/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ [19/76] /usr/bin/gcc -DDGL_OPENGL -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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.dir/_dpf_empty.c.o -MF CMakeFiles/AIDA-X.dir/_dpf_empty.c.o.d -o CMakeFiles/AIDA-X.dir/_dpf_empty.c.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/_dpf_empty.c [20/76] /usr/bin/gcc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -std=gnu11 -fvisibility=hidden -MD -MT CMakeFiles/lv2_ttl_generator.dir/modules/dpf/utils/lv2-ttl-generator/lv2_ttl_generator.c.o -MF CMakeFiles/lv2_ttl_generator.dir/modules/dpf/utils/lv2-ttl-generator/lv2_ttl_generator.c.o.d -o CMakeFiles/lv2_ttl_generator.dir/modules/dpf/utils/lv2-ttl-generator/lv2_ttl_generator.c.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/utils/lv2-ttl-generator/lv2_ttl_generator.c [21/76] /usr/bin/gcc -DDGL_OPENGL -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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 [22/76] : && /usr/bin/gcc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -Wl,--dependency-file=CMakeFiles/lv2_ttl_generator.dir/link.d CMakeFiles/lv2_ttl_generator.dir/modules/dpf/utils/lv2-ttl-generator/lv2_ttl_generator.c.o -o lv2_ttl_generator -ldl && : [23/76] /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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/pugl.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/pugl.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/pugl.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.cpp In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.cpp:17: /usr/include/c++/16/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../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:974, from /usr/include/c++/16/cstdio:47, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../distrho/extra/../DistrhoUtils.hpp:23, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../distrho/extra/LeakDetector.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../Base.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:20: In function ‘sprintf’, inlined from ‘x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../distrho/extra/sofd/libsofd.c:314:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 9 and 2035 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../distrho/extra/sofd/libsofd.c: In function ‘x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../distrho/extra/sofd/libsofd.c:333:55: warning: ‘%s’ directive writing up to 1001 bytes into a region of size between 9 and 1010 [-Wformat-overflow=] 333 | sprintf(recent_file, "%s/.local/share/%s/recent", home, appname); | ^~ In function ‘sprintf’, inlined from ‘x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../distrho/extra/sofd/libsofd.c:333:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 22 and 2024 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ [24/76] /usr/bin/g++ -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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 -MD -MT modules/rtneural/RTNeural/CMakeFiles/RTNeural.dir/RTNeural.cpp.o -MF modules/rtneural/RTNeural/CMakeFiles/RTNeural.dir/RTNeural.cpp.o.d -o modules/rtneural/RTNeural/CMakeFiles/RTNeural.dir/RTNeural.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/RTNeural.cpp [25/76] : && /usr/bin/cmake -E rm -f modules/rtneural/RTNeural/libRTNeural.a && /usr/bin/ar qc modules/rtneural/RTNeural/libRTNeural.a modules/rtneural/RTNeural/CMakeFiles/RTNeural.dir/RTNeural.cpp.o && /usr/bin/ranlib modules/rtneural/RTNeural/libRTNeural.a && : [26/76] : && /usr/bin/cmake -E rm -f libAIDA-X-Standalone.a && /usr/bin/ar qc libAIDA-X-Standalone.a CMakeFiles/AIDA-X-Standalone.dir/_dpf_empty.c.o && /usr/bin/ranlib libAIDA-X-Standalone.a && : [27/76] : && /usr/bin/cmake -E rm -f libAIDA-X.a && /usr/bin/ar qc libAIDA-X.a CMakeFiles/AIDA-X.dir/_dpf_empty.c.o && /usr/bin/ranlib libAIDA-X.a && : [28/76] cd /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/modules/dpf/utils/res2c.py Files /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/files /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build Generating data for "/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/files/V30-P2-audix-i5-deerinkstudios.wav" Generating data for 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-I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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/modules/FFTConvolver/Utilities.cpp.o -MF CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/Utilities.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/Utilities.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver/Utilities.cpp [42/76] /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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 In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/NanoVG.cpp:1201: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/nanovg/nanovg.c: In function ‘nvgUpdateImage’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/nanovg/nanovg.c:936:40: warning: ‘w’ may be used uninitialized [-Wmaybe-uninitialized] 936 | ctx->params.renderUpdateTexture(ctx->params.userPtr, image, 0,0, w,h, data); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/nanovg/nanovg.c:934:13: note: ‘w’ declared here 934 | int w, h; | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/nanovg/nanovg.c:936:40: warning: ‘h’ may be used uninitialized [-Wmaybe-uninitialized] 936 | ctx->params.renderUpdateTexture(ctx->params.userPtr, image, 0,0, w,h, data); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/nanovg/nanovg.c:934:16: note: ‘h’ declared here 934 | int w, h; | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/nanovg/nanovg.c:936:40: warning: ‘w’ may be used uninitialized [-Wmaybe-uninitialized] 936 | ctx->params.renderUpdateTexture(ctx->params.userPtr, image, 0,0, w,h, data); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/nanovg/nanovg.c:934:13: note: ‘w’ declared here 934 | int w, h; | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/nanovg/nanovg.c:936:40: warning: ‘h’ may be used uninitialized [-Wmaybe-uninitialized] 936 | ctx->params.renderUpdateTexture(ctx->params.userPtr, image, 0,0, w,h, data); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/nanovg/nanovg.c:934:16: note: ‘h’ declared here 934 | int w, h; | ^ [43/76] : && /usr/bin/cmake -E rm -f libdgl-opengl.a && /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 && : [44/76] cd /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/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 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-DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -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 [54/76] : && /usr/bin/cmake -E rm -f libAIDA-X-ui.a && /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 && : [55/76] /usr/bin/g++ -DDGL_OPENGL -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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 [56/76] /usr/bin/g++ -DAIDA_X_clap_EXPORTS -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_CLAP -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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/DistrhoPluginMain.cpp.o -MF CMakeFiles/AIDA-X-clap.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o.d -o CMakeFiles/AIDA-X-clap.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoPluginMain.cpp In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../../dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../../dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUIPrivateData.hpp:31, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUIInternal.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoPluginCLAP.cpp:38, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoPluginMain.cpp:22: /usr/include/c++/16/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ [57/76] /usr/bin/g++ -DAIDA_X_clap_EXPORTS -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_CLAP -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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 In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:65, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp:17: /usr/include/c++/16/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/FileBrowserDialogImpl.cpp:50, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:53: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:52: warning: ‘%s’ directive writing up to 1013 bytes into a region of size between 10 and 1023 [-Wformat-overflow=] 314 | sprintf(recent_file, "%s" PATHSEP "%s" PATHSEP "recent", xdg, appname); | ^~ In file included from /usr/include/stdio.h:974, from /usr/include/c++/16/cstdio:47, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/../DistrhoUtils.hpp:23, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/String.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoDetails.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:17: In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 9 and 2035 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:55: warning: ‘%s’ directive writing up to 1001 bytes into a region of size between 9 and 1010 [-Wformat-overflow=] 333 | sprintf(recent_file, "%s/.local/share/%s/recent", home, appname); | ^~ In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 22 and 2024 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ [58/76] /usr/bin/g++ -DAIDA_X_lv2_EXPORTS -DDGL_OPENGL -DDISTRHO_PLUGIN_TARGET_LV2 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o -MF CMakeFiles/AIDA-X-lv2.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o.d -o CMakeFiles/AIDA-X-lv2.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoPluginMain.cpp [59/76] /usr/bin/g++ -DAIDA_X_lv2_ui_EXPORTS -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_LV2 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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 In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:65, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp:17: /usr/include/c++/16/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/FileBrowserDialogImpl.cpp:50, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:53: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:52: warning: ‘%s’ directive writing up to 1013 bytes into a region of size between 10 and 1023 [-Wformat-overflow=] 314 | sprintf(recent_file, "%s" PATHSEP "%s" PATHSEP "recent", xdg, appname); | ^~ In file included from /usr/include/stdio.h:974, from /usr/include/c++/16/cstdio:47, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/../DistrhoUtils.hpp:23, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/String.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoDetails.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:17: In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 9 and 2035 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:55: warning: ‘%s’ directive writing up to 1001 bytes into a region of size between 9 and 1010 [-Wformat-overflow=] 333 | sprintf(recent_file, "%s/.local/share/%s/recent", home, appname); | ^~ In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 22 and 2024 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ [60/76] /usr/bin/g++ -DAIDA_X_vst2_EXPORTS -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_VST2 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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 In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../../dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../../dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUIPrivateData.hpp:31, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUIInternal.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoPluginVST2.cpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoPluginMain.cpp:31: /usr/include/c++/16/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ [61/76] /usr/bin/g++ -DAIDA_X_vst2_EXPORTS -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_VST2 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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 In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:65, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp:17: /usr/include/c++/16/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/FileBrowserDialogImpl.cpp:50, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:53: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:52: warning: ‘%s’ directive writing up to 1013 bytes into a region of size between 10 and 1023 [-Wformat-overflow=] 314 | sprintf(recent_file, "%s" PATHSEP "%s" PATHSEP "recent", xdg, appname); | ^~ In file included from /usr/include/stdio.h:974, from /usr/include/c++/16/cstdio:47, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/../DistrhoUtils.hpp:23, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/String.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoDetails.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:17: In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 9 and 2035 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:55: warning: ‘%s’ directive writing up to 1001 bytes into a region of size between 9 and 1010 [-Wformat-overflow=] 333 | sprintf(recent_file, "%s/.local/share/%s/recent", home, appname); | ^~ In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 22 and 2024 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ [62/76] /usr/bin/g++ -DAIDA_X_vst3_EXPORTS -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_VST3 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:65, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp:17: /usr/include/c++/16/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/FileBrowserDialogImpl.cpp:50, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:53: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:52: warning: ‘%s’ directive writing up to 1013 bytes into a region of size between 10 and 1023 [-Wformat-overflow=] 314 | sprintf(recent_file, "%s" PATHSEP "%s" PATHSEP "recent", xdg, appname); | ^~ In file included from /usr/include/stdio.h:974, from /usr/include/c++/16/cstdio:47, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/../DistrhoUtils.hpp:23, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/String.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoDetails.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:17: In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 9 and 2035 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:55: warning: ‘%s’ directive writing up to 1001 bytes into a region of size between 9 and 1010 [-Wformat-overflow=] 333 | sprintf(recent_file, "%s/.local/share/%s/recent", home, appname); | ^~ In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 22 and 2024 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ [63/76] /usr/bin/g++ -DAIDA_X_vst3_EXPORTS -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_VST3 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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 [64/76] : && /usr/bin/cmake -E rm -f libAIDA-X-Standalone-ui.a && /usr/bin/ar qc libAIDA-X-Standalone-ui.a CMakeFiles/AIDA-X-Standalone-ui.dir/Graphics.cpp.o CMakeFiles/AIDA-X-Standalone-ui.dir/modules/dpf-widgets/opengl/Blendish.cpp.o CMakeFiles/AIDA-X-Standalone-ui.dir/src/aidadsp-ui.cpp.o && /usr/bin/ranlib libAIDA-X-Standalone-ui.a && : [65/76] /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_JACK -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_GETTIMEOFDAY -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/usr/include/SDL2 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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/DistrhoUIMain.cpp.o -MF CMakeFiles/AIDA-X-Standalone-jack.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-jack.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:65, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp:17: /usr/include/c++/16/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/FileBrowserDialogImpl.cpp:50, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:53: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:52: warning: ‘%s’ directive writing up to 1013 bytes into a region of size between 10 and 1023 [-Wformat-overflow=] 314 | sprintf(recent_file, "%s" PATHSEP "%s" PATHSEP "recent", xdg, appname); | ^~ In file included from /usr/include/stdio.h:974, from /usr/include/c++/16/cstdio:47, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/../DistrhoUtils.hpp:23, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/String.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoDetails.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:17: In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 9 and 2035 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:55: warning: ‘%s’ directive writing up to 1001 bytes into a region of size between 9 and 1010 [-Wformat-overflow=] 333 | sprintf(recent_file, "%s/.local/share/%s/recent", home, appname); | ^~ In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 22 and 2024 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ [66/76] : && /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 -shared -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -Xlinker --version-script=/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/utils/symbols/lv2-ui.version -Wl,--dependency-file=CMakeFiles/AIDA-X-lv2-ui.dir/link.d -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 -lgcc_s_asneeded -lgcc_s_asneeded && : [67/76] /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_JACK -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_GETTIMEOFDAY -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/usr/include/SDL2 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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/../../dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../../dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUIPrivateData.hpp:31, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUIInternal.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoPluginJACK.cpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoPluginMain.cpp:24: /usr/include/c++/16/cstdbool:50:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 50 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ [68/76] /usr/bin/g++ -DDGL_OPENGL -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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++/16/backward/strstream:50, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp:19: /usr/include/c++/16/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 \ | ^~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp: In member function ‘void AidaDISTRHO::AidaDSPLoaderPlugin::loadDefaultModel()’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp:620:39: warning: ‘istrstream’ is deprecated: use 'std::istringstream' instead [-Wdeprecated-declarations] 620 | std::istrstream jsonStream(static_cast(static_cast(tw40_california_clean_deerinkstudiosData)), | ^ /usr/include/c++/16/backward/strstream:166:9: note: declared here 166 | class istrstream : public basic_istream | ^~~~~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru.h:8, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/Model.h:17, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/RTNeural.h:19, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:2, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp:13: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:666:41: required from here 666 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:678:42: required from here 678 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:690:42: required from here 690 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:702:42: required from here 702 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:714:42: required from here 714 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:726:42: required from here 726 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:738:42: required from here 738 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:750:42: required from here 750 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:870:43: required from here 870 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense.h:9, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/Model.h:16: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 8; int out_sizet = 1]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:658:41: required from here 658 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 12; int out_sizet = 1]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:670:42: required from here 670 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 16; int out_sizet = 1]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:682:42: required from here 682 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 20; int out_sizet = 1]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:694:42: required from here 694 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 24; int out_sizet = 1]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:706:42: required from here 706 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 32; int out_sizet = 1]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:718:42: required from here 718 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 40; int out_sizet = 1]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:730:42: required from here 730 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 64; int out_sizet = 1]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:742:42: required from here 742 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 80; int out_sizet = 1]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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) | ^~~~~~~~~~~~~ [69/76] : && /usr/bin/cmake -E rm -f libAIDA-X-dsp.a && /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 && : [70/76] /usr/bin/g++ -DDGL_OPENGL -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -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 In file included from /usr/include/c++/16/backward/strstream:50, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp:19: /usr/include/c++/16/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 \ | ^~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp: In member function ‘void AidaDISTRHO::AidaDSPLoaderPlugin::loadDefaultModel()’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp:620:39: warning: ‘istrstream’ is deprecated: use 'std::istringstream' instead [-Wdeprecated-declarations] 620 | std::istrstream jsonStream(static_cast(static_cast(tw40_california_clean_deerinkstudiosData)), | ^ /usr/include/c++/16/backward/strstream:166:9: note: declared here 166 | class istrstream : public basic_istream | ^~~~~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru.h:8, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/Model.h:17, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/RTNeural.h:19, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:2, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp:13: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:666:41: required from here 666 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:678:42: required from here 678 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:690:42: required from here 690 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:702:42: required from here 702 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:714:42: required from here 714 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:726:42: required from here 726 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:738:42: required from here 738 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:750:42: required from here 750 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:870:43: required from here 870 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense.h:9, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/Model.h:16: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 8; int out_sizet = 1]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:658:41: required from here 658 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 12; int out_sizet = 1]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:670:42: required from here 670 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 16; int out_sizet = 1]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:682:42: required from here 682 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 20; int out_sizet = 1]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:694:42: required from here 694 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 24; int out_sizet = 1]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:706:42: required from here 706 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 32; int out_sizet = 1]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:718:42: required from here 718 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 40; int out_sizet = 1]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:730:42: required from here 730 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 64; int out_sizet = 1]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:742:42: required from here 742 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 80; int out_sizet = 1]’: /usr/include/c++/16/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/16/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/16/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/16/tuple:2147:15: 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]’ 2147 | : _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++/16/variant:230:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, >::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >; bool = true]’ 230 | : _M_storage(std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, true>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:578:22: 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 = {}]’ 578 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 579 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1654:33: 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]’ 1654 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/16/variant:1606:33: 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 >&]’ 1606 | 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) | ^~~~~~~~~~~~~ [71/76] : && /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 -shared -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -Xlinker --version-script=/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/utils/symbols/lv2-dsp.version -Wl,--dependency-file=CMakeFiles/AIDA-X-lv2.dir/link.d -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 -lgcc_s_asneeded -lgcc_s_asneeded && 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! [72/76] : && /usr/bin/cmake -E rm -f libAIDA-X-Standalone-dsp.a && /usr/bin/ar qc libAIDA-X-Standalone-dsp.a CMakeFiles/AIDA-X-Standalone-dsp.dir/Files.cpp.o CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/AudioFFT.cpp.o CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/FFTConvolver.cpp.o CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/TwoStageFFTConvolver.cpp.o CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/Utilities.cpp.o CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/r8brain/pffft.cpp.o CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/r8brain/r8bbase.cpp.o CMakeFiles/AIDA-X-Standalone-dsp.dir/src/aidadsp-plugin.cpp.o CMakeFiles/AIDA-X-Standalone-dsp.dir/src/Biquad.cpp.o CMakeFiles/AIDA-X-Standalone-dsp.dir/src/3rd-party.cpp.o && /usr/bin/ranlib libAIDA-X-Standalone-dsp.a && : [73/76] : && /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 -shared -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -Xlinker --version-script=/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/utils/symbols/vst2.version -Wl,--dependency-file=CMakeFiles/AIDA-X-vst2.dir/link.d -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 -lgcc_s_asneeded -lgcc_s_asneeded && : [74/76] : && /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 -shared -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -Xlinker --version-script=/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/utils/symbols/clap.version -Wl,--dependency-file=CMakeFiles/AIDA-X-clap.dir/link.d -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 -lgcc_s_asneeded -lgcc_s_asneeded && : [75/76] : && /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 -shared -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -Xlinker --version-script=/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/utils/symbols/vst3.version -Wl,--dependency-file=CMakeFiles/AIDA-X-vst3.dir/link.d -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 -lgcc_s_asneeded -lgcc_s_asneeded && : [76/76] : && /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-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -Wl,--dependency-file=CMakeFiles/AIDA-X-Standalone-jack.dir/link.d CMakeFiles/AIDA-X-Standalone-jack.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o CMakeFiles/AIDA-X-Standalone-jack.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -o bin/AIDA-X libAIDA-X-Standalone-dsp.a libAIDA-X-Standalone-ui.a -lSDL2 -ldl -lasound -lpulse-simple -lpulse libAIDA-X-Standalone.a modules/rtneural/RTNeural/libRTNeural.a libdgl-opengl.a -ldbus-1 /usr/lib64/libX11.so /usr/lib64/libGL.so -ldl -lgcc_s_asneeded -lgcc_s_asneeded && : + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.X81Ofr + 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-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd AIDA-X + install -m 755 -d /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/lib64/vst3/ + install -m 755 -d /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/lib64/vst/ + install -m 755 -d /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/lib64/clap/ + install -m 755 -d /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/lib64/lv2/ + install -m 755 -d /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/bin/ + cp -ra redhat-linux-build/bin/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/bin/ + cp -ra redhat-linux-build/bin/AIDA-X.clap /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/lib64/clap/ + cp -ra redhat-linux-build/bin/AIDA-X.lv2 /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/lib64/lv2/ + cp -ra redhat-linux-build/bin/AIDA-X-vst2.so /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/lib64/vst/ + cp -ra redhat-linux-build/bin/AIDA-X.vst3 /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr/lib64/vst3/ + /usr/bin/find-debuginfo -j4 --strict-build-id -m -i --build-id-seed 1.1.0-1.fc44 --unique-debug-suffix -1.1.0-1.fc44.aarch64 --unique-debug-src-base aida-x-1.1.0-1.fc44.aarch64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 50000000 --remove-section .gnu.build.attributes -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.fc44.aarch64 find-debuginfo: done + /usr/lib/rpm/check-buildroot + /usr/lib/rpm/redhat/brp-ldconfig + COMPRESS='gzip -9 -n' + COMPRESS_EXT=.gz + /usr/lib/rpm/brp-compress + /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip + /usr/lib/rpm/check-rpaths + /usr/lib/rpm/redhat/brp-mangle-shebangs *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.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.fc44.aarch64/modules/FFTConvolver/TwoStageFFTConvolver.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc44.aarch64/modules/FFTConvolver/TwoStageFFTConvolver.cpp is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc44.aarch64/modules/FFTConvolver/FFTConvolver.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc44.aarch64/modules/FFTConvolver/FFTConvolver.cpp is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc44.aarch64/modules/FFTConvolver/AudioFFT.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc44.aarch64/modules/FFTConvolver/AudioFFT.cpp is executable but has no shebang, removing executable bit + /usr/lib/rpm/brp-remove-la-files + /usr/lib/rpm/redhat/brp-python-rpm-in-distinfo + env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j4 + /usr/lib/rpm/redhat/brp-python-hardlink + /usr/bin/add-det --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 + /usr/bin/linkdupes --brp /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT/usr Scanned 82 directories and 310 files, considered 310 files, read 4 files, linked 0 files, 0 errors sum of sizes of linked files: 0 bytes Reading /builddir/build/BUILD/aida-x-1.1.0-build/SPECPARTS/rpm-debuginfo.specpart Processing files: aida-x-1.1.0-1.fc44.aarch64 Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.RK4XRJ + 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.XYIPSf + 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.fc44 aida-x(aarch-64) = 1.1.0-1.fc44 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) libm.so.6(GLIBC_2.43)(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_3.4.30)(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.fc44.aarch64 Provides: vst3-aida-x = 1.1.0-1.fc44 vst3-aida-x(aarch-64) = 1.1.0-1.fc44 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) libm.so.6(GLIBC_2.43)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.15)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: vst-aida-x-1.1.0-1.fc44.aarch64 Provides: vst-aida-x = 1.1.0-1.fc44 vst-aida-x(aarch-64) = 1.1.0-1.fc44 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) libm.so.6(GLIBC_2.43)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.15)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: lv2-aida-x-1.1.0-1.fc44.aarch64 Provides: lv2-aida-x = 1.1.0-1.fc44 lv2-aida-x(aarch-64) = 1.1.0-1.fc44 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) libm.so.6(GLIBC_2.43)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.15)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: clap-aida-x-1.1.0-1.fc44.aarch64 Provides: clap-aida-x = 1.1.0-1.fc44 clap-aida-x(aarch-64) = 1.1.0-1.fc44 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) libm.so.6(GLIBC_2.43)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.15)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: aida-x-debugsource-1.1.0-1.fc44.aarch64 Provides: aida-x-debugsource = 1.1.0-1.fc44 aida-x-debugsource(aarch-64) = 1.1.0-1.fc44 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.fc44.aarch64 Provides: aida-x-debuginfo = 1.1.0-1.fc44 aida-x-debuginfo(aarch-64) = 1.1.0-1.fc44 debuginfo(build-id) = 949ab9abc08bfc09d1ad943d7793e7a30acb52c3 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.fc44 Processing files: vst3-aida-x-debuginfo-1.1.0-1.fc44.aarch64 Provides: debuginfo(build-id) = f30a883d2f816f23ea2c7f43edc3141d306b7389 vst3-aida-x-debuginfo = 1.1.0-1.fc44 vst3-aida-x-debuginfo(aarch-64) = 1.1.0-1.fc44 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.fc44 Processing files: vst-aida-x-debuginfo-1.1.0-1.fc44.aarch64 Provides: debuginfo(build-id) = b425153a94fafce41e8aa7d9c18bd5caf7006a18 vst-aida-x-debuginfo = 1.1.0-1.fc44 vst-aida-x-debuginfo(aarch-64) = 1.1.0-1.fc44 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.fc44 Processing files: lv2-aida-x-debuginfo-1.1.0-1.fc44.aarch64 Provides: debuginfo(build-id) = 968bbce938d12a1c7f89a6b726e29dd39aae4401 debuginfo(build-id) = efb8b3ddc653fad5e06279ea46ebe339cb36ebd4 lv2-aida-x-debuginfo = 1.1.0-1.fc44 lv2-aida-x-debuginfo(aarch-64) = 1.1.0-1.fc44 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.fc44 Processing files: clap-aida-x-debuginfo-1.1.0-1.fc44.aarch64 Provides: clap-aida-x-debuginfo = 1.1.0-1.fc44 clap-aida-x-debuginfo(aarch-64) = 1.1.0-1.fc44 debuginfo(build-id) = eaf94257e1bf4292f89d80d9e8135f4ee1524dd6 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.fc44 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT Wrote: /builddir/build/RPMS/vst-aida-x-debuginfo-1.1.0-1.fc44.aarch64.rpm Wrote: /builddir/build/RPMS/clap-aida-x-debuginfo-1.1.0-1.fc44.aarch64.rpm Wrote: /builddir/build/RPMS/vst3-aida-x-debuginfo-1.1.0-1.fc44.aarch64.rpm Wrote: /builddir/build/RPMS/aida-x-1.1.0-1.fc44.aarch64.rpm Wrote: /builddir/build/RPMS/lv2-aida-x-1.1.0-1.fc44.aarch64.rpm Wrote: /builddir/build/RPMS/vst3-aida-x-1.1.0-1.fc44.aarch64.rpm Wrote: /builddir/build/RPMS/clap-aida-x-1.1.0-1.fc44.aarch64.rpm Wrote: /builddir/build/RPMS/vst-aida-x-1.1.0-1.fc44.aarch64.rpm Wrote: /builddir/build/RPMS/aida-x-debugsource-1.1.0-1.fc44.aarch64.rpm Wrote: /builddir/build/RPMS/lv2-aida-x-debuginfo-1.1.0-1.fc44.aarch64.rpm Wrote: /builddir/build/RPMS/aida-x-debuginfo-1.1.0-1.fc44.aarch64.rpm Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.L1dW9k + 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.fc44.src.rpm Finish: build phase for aida-x-1.1.0-1.fc44.src.rpm INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-44-aarch64-1773342969.327066/root/var/log/dnf5.log INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz /bin/tar: Removing leading `/' from member names INFO: Done(/var/lib/copr-rpmbuild/results/aida-x-1.1.0-1.fc44.src.rpm) Config(child) 4 minutes 47 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": "lv2-aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc44", "arch": "aarch64" }, { "name": "clap-aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc44", "arch": "aarch64" }, { "name": "clap-aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc44", "arch": "aarch64" }, { "name": "aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc44", "arch": "aarch64" }, { "name": "aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc44", "arch": "aarch64" }, { "name": "vst-aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc44", "arch": "aarch64" }, { "name": "aida-x-debugsource", "epoch": null, "version": "1.1.0", "release": "1.fc44", "arch": "aarch64" }, { "name": "vst3-aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc44", "arch": "aarch64" }, { "name": "vst3-aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc44", "arch": "aarch64" }, { "name": "lv2-aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc44", "arch": "aarch64" }, { "name": "vst-aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc44", "arch": "aarch64" }, { "name": "aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc44", "arch": "src" } ] } RPMResults finished