Warning: Permanently added '98.81.79.5' (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/8796243-fedora-42-x86_64 --chroot fedora-42-x86_64 Version: 1.2 PID: 28135 Logging PID: 28136 Task: {'allow_user_ssh': False, 'appstream': False, 'background': False, 'build_id': 8796243, 'buildroot_pkgs': [], 'chroot': 'fedora-42-x86_64', 'enable_net': True, 'fedora_review': False, 'git_hash': '8fcfb06c36c368946559df5f03a28fb5cd288844', '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-42-x86_64/', 'id': 'copr_base', 'name': 'Copr repository', 'priority': None}, {'baseurl': 'https://download1.rpmfusion.org/free/fedora/development/$releasever/Everything/$basearch/os/', 'id': 'https_download1_rpmfusion_org_free_fedora_development_releasever_Everything_basearch_os', 'name': 'Additional repo ' 'https_download1_rpmfusion_org_free_fedora_development_releasever_Everything_basearch_os'}, {'baseurl': 'https://codecs.fedoraproject.org/openh264/$releasever/$basearch/os/', 'id': 'https_codecs_fedoraproject_org_openh264_releasever_basearch_os', 'name': 'Additional repo https_codecs_fedoraproject_org_openh264_releasever_basearch_os'}], 'sandbox': 'ycollet/audinux--ycollet', 'source_json': {}, 'source_type': None, 'ssh_public_keys': None, 'storage': None, 'submitter': 'ycollet', 'tags': [], 'task_id': '8796243-fedora-42-x86_64', 'timeout': 18000, 'uses_devel_repo': False, 'with_opts': [], 'without_opts': []} Running: git clone https://copr-dist-git.fedorainfracloud.org/git/ycollet/audinux/aida-x /var/lib/copr-rpmbuild/workspace/workdir-wq2op109/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-wq2op109/aida-x', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-wq2op109/aida-x'... Running: git checkout 8fcfb06c36c368946559df5f03a28fb5cd288844 -- cmd: ['git', 'checkout', '8fcfb06c36c368946559df5f03a28fb5cd288844', '--'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-wq2op109/aida-x rc: 0 stdout: stderr: Note: switching to '8fcfb06c36c368946559df5f03a28fb5cd288844'. 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 8fcfb06 automatic import of aida-x Running: dist-git-client sources cmd: ['dist-git-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-wq2op109/aida-x rc: 0 stdout: stderr: INFO: Reading stdout from command: git rev-parse --abbrev-ref HEAD INFO: Reading stdout from command: git rev-parse HEAD INFO: Reading sources specification file: sources INFO: Downloading AIDA-X.tar.gz INFO: Reading stdout from command: curl --help all INFO: Calling: curl -H Pragma: -o AIDA-X.tar.gz --location --connect-timeout 60 --retry 3 --retry-delay 10 --remote-time --show-error --fail --retry-all-errors https://copr-dist-git.fedorainfracloud.org/repo/pkgs/ycollet/audinux/aida-x/AIDA-X.tar.gz/md5/f3d8121b0fd5cb8fd4ee9a71820691f5/AIDA-X.tar.gz % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 20.4M 100 20.4M 0 0 43.5M 0 --:--:-- --:--:-- --:--:-- 43.5M INFO: Reading stdout from command: md5sum AIDA-X.tar.gz /usr/bin/tail: /var/lib/copr-rpmbuild/main.log: file truncated Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-wq2op109/aida-x/aidax.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-wq2op109/aida-x --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1742439237.869663 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 6.1 starting (python version = 3.13.0, NVR = mock-6.1-1.fc41), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-wq2op109/aida-x/aidax.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-wq2op109/aida-x --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1742439237.869663 -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-wq2op109/aida-x/aidax.spec) Config(fedora-42-x86_64) Start: clean chroot Finish: clean chroot Mock Version: 6.1 INFO: Mock Version: 6.1 Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-42-x86_64-bootstrap-1742439237.869663/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:42 INFO: Pulling image: registry.fedoraproject.org/fedora:42 INFO: Tagging container image as mock-bootstrap-b7e1c975-efc3-4e7a-b6b7-91d658074a15 INFO: Checking that af42aad5b42710a78e897563778971592105e3254e94254fdac07a769e0e230b image matches host's architecture INFO: Copy content of container af42aad5b42710a78e897563778971592105e3254e94254fdac07a769e0e230b to /var/lib/mock/fedora-42-x86_64-bootstrap-1742439237.869663/root INFO: mounting af42aad5b42710a78e897563778971592105e3254e94254fdac07a769e0e230b with podman image mount INFO: image af42aad5b42710a78e897563778971592105e3254e94254fdac07a769e0e230b as /var/lib/containers/storage/overlay/6e3d78a5236108a7166e76fcccbfc3d7c81863b86ed3dfa90ee5a3255cd76145/merged INFO: umounting image af42aad5b42710a78e897563778971592105e3254e94254fdac07a769e0e230b (/var/lib/containers/storage/overlay/6e3d78a5236108a7166e76fcccbfc3d7c81863b86ed3dfa90ee5a3255cd76145/merged) with podman image umount INFO: Removing image mock-bootstrap-b7e1c975-efc3-4e7a-b6b7-91d658074a15 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-42-x86_64-1742439237.869663/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Package manager dnf5 detected and used (direct choice) INFO: Buildroot is handled by package management downloaded with a bootstrap image: rpm-4.20.0-8.fc42.x86_64 rpm-sequoia-1.7.0-5.fc42.x86_64 dnf5-5.2.11.0-1.fc42.x86_64 dnf5-plugins-5.2.11.0-1.fc42.x86_64 Start: installing minimal buildroot with dnf5 Updating and loading repositories: updates 100% | 408.2 KiB/s | 29.8 KiB | 00m00s fedora 100% | 97.0 KiB/s | 26.3 KiB | 00m00s Copr repository 100% | 63.6 KiB/s | 1.5 KiB | 00m00s Additional repo https_download1_rpmfus 100% | 2.6 KiB/s | 3.7 KiB | 00m01s Additional repo https_codecs_fedorapro 100% | 10.6 KiB/s | 2.3 KiB | 00m00s Copr repository 100% | 1.5 MiB/s | 44.3 KiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing group/module packages: bash x86_64 5.2.37-1.fc42 fedora 8.2 MiB bzip2 x86_64 1.0.8-20.fc42 fedora 99.3 KiB coreutils x86_64 9.6-2.fc42 fedora 5.5 MiB cpio x86_64 2.15-2.fc41 fedora 1.1 MiB diffutils x86_64 3.10-9.fc42 fedora 1.6 MiB fedora-release-common noarch 42-0.21 fedora 20.1 KiB findutils x86_64 1:4.10.0-5.fc42 fedora 1.9 MiB gawk x86_64 5.3.1-1.fc42 fedora 1.7 MiB glibc-minimal-langpack x86_64 2.41-1.fc42 fedora 0.0 B grep x86_64 3.11-10.fc42 fedora 1.0 MiB gzip x86_64 1.13-3.fc42 fedora 392.9 KiB info x86_64 7.2-3.fc42 fedora 357.9 KiB patch x86_64 2.7.6-26.fc42 fedora 258.7 KiB redhat-rpm-config noarch 342-2.fc42 fedora 186.8 KiB rpm-build x86_64 4.20.0-8.fc42 fedora 165.2 KiB sed x86_64 4.9-4.fc42 fedora 857.3 KiB shadow-utils x86_64 2:4.17.0-4.fc42 fedora 4.0 MiB tar x86_64 2:1.35-5.fc42 fedora 3.0 MiB unzip x86_64 6.0-66.fc42 fedora 390.3 KiB util-linux x86_64 2.40.4-7.fc42 fedora 3.4 MiB which x86_64 2.23-1.fc42 fedora 83.4 KiB xz x86_64 1:5.6.3-3.fc42 fedora 1.2 MiB Installing dependencies: add-determinism x86_64 0.6.0-1.fc42 fedora 2.5 MiB alternatives x86_64 1.32-1.fc42 fedora 62.2 KiB ansible-srpm-macros noarch 1-17.1.fc42 fedora 35.7 KiB audit-libs x86_64 4.0.3-2.fc42 fedora 351.3 KiB basesystem noarch 11-22.fc42 fedora 0.0 B binutils x86_64 2.44-3.fc42 fedora 25.9 MiB build-reproducibility-srpm-macros noarch 0.6.0-1.fc42 fedora 735.0 B bzip2-libs x86_64 1.0.8-20.fc42 fedora 84.6 KiB ca-certificates noarch 2024.2.69_v8.0.401-5.fc42 fedora 2.6 MiB coreutils-common x86_64 9.6-2.fc42 fedora 11.1 MiB crypto-policies noarch 20250214-1.gitff7551b.fc42 fedora 137.2 KiB curl x86_64 8.11.1-4.fc42 fedora 450.6 KiB cyrus-sasl-lib x86_64 2.1.28-30.fc42 fedora 2.3 MiB debugedit x86_64 5.1-5.fc42 fedora 192.7 KiB dwz x86_64 0.15-9.fc42 fedora 291.0 KiB ed x86_64 1.21-2.fc42 fedora 146.5 KiB efi-srpm-macros noarch 6-2.fc42 fedora 40.1 KiB elfutils x86_64 0.192-9.fc42 fedora 2.6 MiB elfutils-debuginfod-client x86_64 0.192-9.fc42 fedora 79.9 KiB elfutils-default-yama-scope noarch 0.192-9.fc42 fedora 1.8 KiB elfutils-libelf x86_64 0.192-9.fc42 fedora 1.2 MiB elfutils-libs x86_64 0.192-9.fc42 fedora 667.0 KiB fedora-gpg-keys noarch 42-0.5 fedora 128.2 KiB fedora-release noarch 42-0.21 fedora 0.0 B fedora-release-identity-basic noarch 42-0.21 fedora 701.0 B fedora-repos noarch 42-0.5 fedora 4.9 KiB file x86_64 5.46-1.fc42 fedora 100.2 KiB file-libs x86_64 5.46-1.fc42 fedora 11.9 MiB filesystem x86_64 3.18-36.fc42 fedora 112.0 B filesystem-srpm-macros noarch 3.18-36.fc42 fedora 38.2 KiB fonts-srpm-macros noarch 1:2.0.5-21.fc42 fedora 55.8 KiB forge-srpm-macros noarch 0.4.0-2.fc42 fedora 38.9 KiB fpc-srpm-macros noarch 1.3-14.fc42 fedora 144.0 B gdb-minimal x86_64 16.2-2.fc42 fedora 13.3 MiB gdbm-libs x86_64 1:1.23-9.fc42 fedora 129.9 KiB ghc-srpm-macros noarch 1.9.2-2.fc42 fedora 779.0 B glibc x86_64 2.41-1.fc42 fedora 6.6 MiB glibc-common x86_64 2.41-1.fc42 fedora 1.0 MiB glibc-gconv-extra x86_64 2.41-1.fc42 fedora 7.2 MiB gmp x86_64 1:6.3.0-2.fc41 fedora 811.4 KiB gnat-srpm-macros noarch 6-7.fc42 fedora 1.0 KiB go-srpm-macros noarch 3.6.0-6.fc42 fedora 60.8 KiB jansson x86_64 2.14-2.fc42 fedora 93.1 KiB json-c x86_64 0.18-2.fc42 fedora 86.7 KiB kernel-srpm-macros noarch 1.0-25.fc42 fedora 1.9 KiB keyutils-libs x86_64 1.6.3-5.fc42 fedora 58.3 KiB krb5-libs x86_64 1.21.3-5.fc42 fedora 2.3 MiB libacl x86_64 2.3.2-3.fc42 fedora 38.3 KiB libarchive x86_64 3.7.7-4.fc42 fedora 930.6 KiB libattr x86_64 2.5.2-5.fc42 fedora 27.1 KiB libblkid x86_64 2.40.4-7.fc42 fedora 262.4 KiB libbrotli x86_64 1.1.0-6.fc42 fedora 841.3 KiB libcap x86_64 2.73-2.fc42 fedora 207.1 KiB libcap-ng x86_64 0.8.5-4.fc42 fedora 72.9 KiB libcom_err x86_64 1.47.2-3.fc42 fedora 67.1 KiB libcurl x86_64 8.11.1-4.fc42 fedora 842.1 KiB libeconf x86_64 0.7.6-1.fc42 fedora 64.6 KiB libevent x86_64 2.1.12-15.fc42 fedora 903.1 KiB libfdisk x86_64 2.40.4-7.fc42 fedora 372.3 KiB libffi x86_64 3.4.6-5.fc42 fedora 82.3 KiB libgcc x86_64 15.0.1-0.9.fc42 fedora 266.6 KiB libgomp x86_64 15.0.1-0.9.fc42 fedora 535.9 KiB libidn2 x86_64 2.3.8-1.fc42 fedora 556.5 KiB libmount x86_64 2.40.4-7.fc42 fedora 356.3 KiB libnghttp2 x86_64 1.64.0-3.fc42 fedora 170.4 KiB libpkgconf x86_64 2.3.0-2.fc42 fedora 78.1 KiB libpsl x86_64 0.21.5-5.fc42 fedora 76.4 KiB libselinux x86_64 3.8-1.fc42 fedora 193.1 KiB libsemanage x86_64 3.8-1.fc42 fedora 308.4 KiB libsepol x86_64 3.8-1.fc42 fedora 826.0 KiB libsmartcols x86_64 2.40.4-7.fc42 fedora 180.4 KiB libssh x86_64 0.11.1-4.fc42 fedora 565.5 KiB libssh-config noarch 0.11.1-4.fc42 fedora 277.0 B libstdc++ x86_64 15.0.1-0.9.fc42 fedora 2.8 MiB libtasn1 x86_64 4.20.0-1.fc42 fedora 176.3 KiB libtool-ltdl x86_64 2.5.4-4.fc42 fedora 70.1 KiB libunistring x86_64 1.1-9.fc42 fedora 1.7 MiB libuuid x86_64 2.40.4-7.fc42 fedora 37.3 KiB libverto x86_64 0.3.2-10.fc42 fedora 25.4 KiB libxcrypt x86_64 4.4.38-6.fc42 fedora 284.5 KiB libxml2 x86_64 2.12.10-1.fc42 fedora 1.7 MiB libzstd x86_64 1.5.7-1.fc42 fedora 807.8 KiB lua-libs x86_64 5.4.7-3.fc42 fedora 280.8 KiB lua-srpm-macros noarch 1-15.fc42 fedora 1.3 KiB lz4-libs x86_64 1.10.0-2.fc42 fedora 157.4 KiB mpfr x86_64 4.2.1-6.fc42 fedora 831.9 KiB ncurses-base noarch 6.5-5.20250125.fc42 fedora 326.8 KiB ncurses-libs x86_64 6.5-5.20250125.fc42 fedora 946.3 KiB ocaml-srpm-macros noarch 10-4.fc42 fedora 1.9 KiB openblas-srpm-macros noarch 2-19.fc42 fedora 112.0 B openldap x86_64 2.6.9-3.fc42 fedora 655.1 KiB openssl-libs x86_64 1:3.2.4-3.fc42 fedora 7.8 MiB p11-kit x86_64 0.25.5-5.fc42 fedora 2.2 MiB p11-kit-trust x86_64 0.25.5-5.fc42 fedora 395.5 KiB package-notes-srpm-macros noarch 0.5-13.fc42 fedora 1.6 KiB pam-libs x86_64 1.7.0-4.fc42 fedora 126.7 KiB pcre2 x86_64 10.45-1.fc42 fedora 697.7 KiB pcre2-syntax noarch 10.45-1.fc42 fedora 273.9 KiB perl-srpm-macros noarch 1-57.fc42 fedora 861.0 B pkgconf x86_64 2.3.0-2.fc42 fedora 88.5 KiB pkgconf-m4 noarch 2.3.0-2.fc42 fedora 14.4 KiB pkgconf-pkg-config x86_64 2.3.0-2.fc42 fedora 989.0 B popt x86_64 1.19-8.fc42 fedora 132.8 KiB publicsuffix-list-dafsa noarch 20250116-1.fc42 fedora 68.5 KiB pyproject-srpm-macros noarch 1.17.0-1.fc42 fedora 1.9 KiB python-srpm-macros noarch 3.13-4.fc42 fedora 51.0 KiB qt5-srpm-macros noarch 5.15.15-1.fc42 fedora 500.0 B qt6-srpm-macros noarch 6.8.2-2.fc42 fedora 464.0 B readline x86_64 8.2-13.fc42 fedora 485.0 KiB rpm x86_64 4.20.0-8.fc42 fedora 3.0 MiB rpm-build-libs x86_64 4.20.0-8.fc42 fedora 202.6 KiB rpm-libs x86_64 4.20.0-8.fc42 fedora 721.8 KiB rpm-sequoia x86_64 1.7.0-5.fc42 fedora 2.4 MiB rust-srpm-macros noarch 26.3-4.fc42 fedora 4.8 KiB setup noarch 2.15.0-13.fc42 fedora 720.9 KiB sqlite-libs x86_64 3.47.2-2.fc42 fedora 1.5 MiB systemd-libs x86_64 257.3-7.fc42 fedora 2.2 MiB systemd-standalone-sysusers x86_64 257.3-7.fc42 fedora 277.3 KiB tree-sitter-srpm-macros noarch 0.1.0-8.fc42 fedora 6.5 KiB util-linux-core x86_64 2.40.4-7.fc42 fedora 1.4 MiB xxhash-libs x86_64 0.8.3-2.fc42 fedora 90.2 KiB xz-libs x86_64 1:5.6.3-3.fc42 fedora 218.3 KiB zig-srpm-macros noarch 1-4.fc42 fedora 1.1 KiB zip x86_64 3.0-43.fc42 fedora 698.5 KiB zlib-ng-compat x86_64 2.2.3-2.fc42 fedora 137.6 KiB zstd x86_64 1.5.7-1.fc42 fedora 1.7 MiB Installing groups: Buildsystem building group Transaction Summary: Installing: 148 packages Total size of inbound packages is 52 MiB. Need to download 0 B. After this operation, 177 MiB extra will be used (install 177 MiB, remove 0 B). [ 1/148] tar-2:1.35-5.fc42.x86_64 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [ 2/148] bzip2-0:1.0.8-20.fc42.x86_64 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [ 3/148] redhat-rpm-config-0:342-2.fc4 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [ 4/148] rpm-build-0:4.20.0-8.fc42.x86 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [ 5/148] unzip-0:6.0-66.fc42.x86_64 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [ 6/148] cpio-0:2.15-2.fc41.x86_64 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [ 7/148] which-0:2.23-1.fc42.x86_64 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [ 8/148] bash-0:5.2.37-1.fc42.x86_64 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [ 9/148] coreutils-0:9.6-2.fc42.x86_64 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [ 10/148] grep-0:3.11-10.fc42.x86_64 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [ 11/148] patch-0:2.7.6-26.fc42.x86_64 100% | 0.0 B/s | 0.0 B | 00m00s >>> 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B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [148/148] Total 100% | 0.0 B/s | 0.0 B | 00m00s Running transaction Importing OpenPGP key 0x105EF944: UserID : "Fedora (42) " Fingerprint: B0F4950458F69E1150C6C5EDC8AC4916105EF944 From : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-42-primary The key was successfully imported. [ 1/150] Verify package files 100% | 919.0 B/s | 148.0 B | 00m00s [ 2/150] Prepare transaction 100% | 4.4 KiB/s | 148.0 B | 00m00s [ 3/150] Installing libgcc-0:15.0.1-0. 100% | 262.0 MiB/s | 268.3 KiB | 00m00s [ 4/150] Installing libssh-config-0:0. 100% | 0.0 B/s | 816.0 B | 00m00s [ 5/150] Installing publicsuffix-list- 100% | 0.0 B/s | 69.2 KiB | 00m00s [ 6/150] Installing fedora-release-ide 100% | 0.0 B/s | 960.0 B | 00m00s [ 7/150] Installing fedora-gpg-keys-0: 100% | 56.9 MiB/s | 174.8 KiB | 00m00s [ 8/150] Installing fedora-repos-0:42- 100% | 0.0 B/s | 5.7 KiB | 00m00s [ 9/150] Installing fedora-release-com 100% | 23.8 MiB/s | 24.4 KiB | 00m00s [ 10/150] Installing fedora-release-0:4 100% | 12.1 KiB/s | 124.0 B | 00m00s >>> Running unknown scriptlet: setup-0:2.15.0-13.fc42.noarch >>> Finished unknown scriptlet: setup-0:2.15.0-13.fc42.noarch >>> Scriptlet output: >>> Creating group 'adm' with GID 4. >>> Creating group 'audio' with GID 63. >>> Creating group 'bin' with GID 1. >>> Creating group 'cdrom' with GID 11. >>> Creating group 'clock' with GID 103. >>> Creating group 'daemon' with GID 2. >>> 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. >>> >>> Running unknown scriptlet: setup-0:2.15.0-13.fc42.noarch >>> Finished unknown scriptlet: setup-0:2.15.0-13.fc42.noarch >>> Scriptlet output: >>> Creating user 'adm' (adm) with UID 3 and GID 4. >>> Creating user 'bin' (bin) with UID 1 and GID 1. >>> 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 20. >>> 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. >>> [ 11/150] Installing 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Installing lua-srpm-macros-0: 100% | 0.0 B/s | 1.9 KiB | 00m00s [127/150] Installing tree-sitter-srpm-m 100% | 0.0 B/s | 7.4 KiB | 00m00s [128/150] Installing zig-srpm-macros-0: 100% | 0.0 B/s | 1.7 KiB | 00m00s [129/150] Installing rust-srpm-macros-0 100% | 0.0 B/s | 5.6 KiB | 00m00s [130/150] Installing qt6-srpm-macros-0: 100% | 0.0 B/s | 740.0 B | 00m00s [131/150] Installing qt5-srpm-macros-0: 100% | 0.0 B/s | 776.0 B | 00m00s [132/150] Installing perl-srpm-macros-0 100% | 0.0 B/s | 1.1 KiB | 00m00s [133/150] Installing package-notes-srpm 100% | 0.0 B/s | 2.0 KiB | 00m00s [134/150] Installing openblas-srpm-macr 100% | 0.0 B/s | 392.0 B | 00m00s [135/150] Installing ocaml-srpm-macros- 100% | 0.0 B/s | 2.2 KiB | 00m00s [136/150] Installing kernel-srpm-macros 100% | 0.0 B/s | 2.3 KiB | 00m00s [137/150] Installing gnat-srpm-macros-0 100% | 0.0 B/s | 1.3 KiB | 00m00s [138/150] Installing ghc-srpm-macros-0: 100% | 0.0 B/s | 1.0 KiB | 00m00s [139/150] Installing fpc-srpm-macros-0: 100% | 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Finish: installing minimal buildroot with dnf5 Start: creating root cache Finish: creating root cache Finish: chroot init INFO: Installed packages: INFO: add-determinism-0.6.0-1.fc42.x86_64 alternatives-1.32-1.fc42.x86_64 ansible-srpm-macros-1-17.1.fc42.noarch audit-libs-4.0.3-2.fc42.x86_64 basesystem-11-22.fc42.noarch bash-5.2.37-1.fc42.x86_64 binutils-2.44-3.fc42.x86_64 build-reproducibility-srpm-macros-0.6.0-1.fc42.noarch bzip2-1.0.8-20.fc42.x86_64 bzip2-libs-1.0.8-20.fc42.x86_64 ca-certificates-2024.2.69_v8.0.401-5.fc42.noarch coreutils-9.6-2.fc42.x86_64 coreutils-common-9.6-2.fc42.x86_64 cpio-2.15-2.fc41.x86_64 crypto-policies-20250214-1.gitff7551b.fc42.noarch curl-8.11.1-4.fc42.x86_64 cyrus-sasl-lib-2.1.28-30.fc42.x86_64 debugedit-5.1-5.fc42.x86_64 diffutils-3.10-9.fc42.x86_64 dwz-0.15-9.fc42.x86_64 ed-1.21-2.fc42.x86_64 efi-srpm-macros-6-2.fc42.noarch elfutils-0.192-9.fc42.x86_64 elfutils-debuginfod-client-0.192-9.fc42.x86_64 elfutils-default-yama-scope-0.192-9.fc42.noarch elfutils-libelf-0.192-9.fc42.x86_64 elfutils-libs-0.192-9.fc42.x86_64 fedora-gpg-keys-42-0.5.noarch fedora-release-42-0.21.noarch fedora-release-common-42-0.21.noarch fedora-release-identity-basic-42-0.21.noarch fedora-repos-42-0.5.noarch file-5.46-1.fc42.x86_64 file-libs-5.46-1.fc42.x86_64 filesystem-3.18-36.fc42.x86_64 filesystem-srpm-macros-3.18-36.fc42.noarch findutils-4.10.0-5.fc42.x86_64 fonts-srpm-macros-2.0.5-21.fc42.noarch forge-srpm-macros-0.4.0-2.fc42.noarch fpc-srpm-macros-1.3-14.fc42.noarch gawk-5.3.1-1.fc42.x86_64 gdb-minimal-16.2-2.fc42.x86_64 gdbm-libs-1.23-9.fc42.x86_64 ghc-srpm-macros-1.9.2-2.fc42.noarch glibc-2.41-1.fc42.x86_64 glibc-common-2.41-1.fc42.x86_64 glibc-gconv-extra-2.41-1.fc42.x86_64 glibc-minimal-langpack-2.41-1.fc42.x86_64 gmp-6.3.0-2.fc41.x86_64 gnat-srpm-macros-6-7.fc42.noarch go-srpm-macros-3.6.0-6.fc42.noarch gpg-pubkey-105ef944-65ca83d1 grep-3.11-10.fc42.x86_64 gzip-1.13-3.fc42.x86_64 info-7.2-3.fc42.x86_64 jansson-2.14-2.fc42.x86_64 json-c-0.18-2.fc42.x86_64 kernel-srpm-macros-1.0-25.fc42.noarch keyutils-libs-1.6.3-5.fc42.x86_64 krb5-libs-1.21.3-5.fc42.x86_64 libacl-2.3.2-3.fc42.x86_64 libarchive-3.7.7-4.fc42.x86_64 libattr-2.5.2-5.fc42.x86_64 libblkid-2.40.4-7.fc42.x86_64 libbrotli-1.1.0-6.fc42.x86_64 libcap-2.73-2.fc42.x86_64 libcap-ng-0.8.5-4.fc42.x86_64 libcom_err-1.47.2-3.fc42.x86_64 libcurl-8.11.1-4.fc42.x86_64 libeconf-0.7.6-1.fc42.x86_64 libevent-2.1.12-15.fc42.x86_64 libfdisk-2.40.4-7.fc42.x86_64 libffi-3.4.6-5.fc42.x86_64 libgcc-15.0.1-0.9.fc42.x86_64 libgomp-15.0.1-0.9.fc42.x86_64 libidn2-2.3.8-1.fc42.x86_64 libmount-2.40.4-7.fc42.x86_64 libnghttp2-1.64.0-3.fc42.x86_64 libpkgconf-2.3.0-2.fc42.x86_64 libpsl-0.21.5-5.fc42.x86_64 libselinux-3.8-1.fc42.x86_64 libsemanage-3.8-1.fc42.x86_64 libsepol-3.8-1.fc42.x86_64 libsmartcols-2.40.4-7.fc42.x86_64 libssh-0.11.1-4.fc42.x86_64 libssh-config-0.11.1-4.fc42.noarch libstdc++-15.0.1-0.9.fc42.x86_64 libtasn1-4.20.0-1.fc42.x86_64 libtool-ltdl-2.5.4-4.fc42.x86_64 libunistring-1.1-9.fc42.x86_64 libuuid-2.40.4-7.fc42.x86_64 libverto-0.3.2-10.fc42.x86_64 libxcrypt-4.4.38-6.fc42.x86_64 libxml2-2.12.10-1.fc42.x86_64 libzstd-1.5.7-1.fc42.x86_64 lua-libs-5.4.7-3.fc42.x86_64 lua-srpm-macros-1-15.fc42.noarch lz4-libs-1.10.0-2.fc42.x86_64 mpfr-4.2.1-6.fc42.x86_64 ncurses-base-6.5-5.20250125.fc42.noarch ncurses-libs-6.5-5.20250125.fc42.x86_64 ocaml-srpm-macros-10-4.fc42.noarch openblas-srpm-macros-2-19.fc42.noarch openldap-2.6.9-3.fc42.x86_64 openssl-libs-3.2.4-3.fc42.x86_64 p11-kit-0.25.5-5.fc42.x86_64 p11-kit-trust-0.25.5-5.fc42.x86_64 package-notes-srpm-macros-0.5-13.fc42.noarch pam-libs-1.7.0-4.fc42.x86_64 patch-2.7.6-26.fc42.x86_64 pcre2-10.45-1.fc42.x86_64 pcre2-syntax-10.45-1.fc42.noarch perl-srpm-macros-1-57.fc42.noarch pkgconf-2.3.0-2.fc42.x86_64 pkgconf-m4-2.3.0-2.fc42.noarch pkgconf-pkg-config-2.3.0-2.fc42.x86_64 popt-1.19-8.fc42.x86_64 publicsuffix-list-dafsa-20250116-1.fc42.noarch pyproject-srpm-macros-1.17.0-1.fc42.noarch python-srpm-macros-3.13-4.fc42.noarch qt5-srpm-macros-5.15.15-1.fc42.noarch qt6-srpm-macros-6.8.2-2.fc42.noarch readline-8.2-13.fc42.x86_64 redhat-rpm-config-342-2.fc42.noarch rpm-4.20.0-8.fc42.x86_64 rpm-build-4.20.0-8.fc42.x86_64 rpm-build-libs-4.20.0-8.fc42.x86_64 rpm-libs-4.20.0-8.fc42.x86_64 rpm-sequoia-1.7.0-5.fc42.x86_64 rust-srpm-macros-26.3-4.fc42.noarch sed-4.9-4.fc42.x86_64 setup-2.15.0-13.fc42.noarch shadow-utils-4.17.0-4.fc42.x86_64 sqlite-libs-3.47.2-2.fc42.x86_64 systemd-libs-257.3-7.fc42.x86_64 systemd-standalone-sysusers-257.3-7.fc42.x86_64 tar-1.35-5.fc42.x86_64 tree-sitter-srpm-macros-0.1.0-8.fc42.noarch unzip-6.0-66.fc42.x86_64 util-linux-2.40.4-7.fc42.x86_64 util-linux-core-2.40.4-7.fc42.x86_64 which-2.23-1.fc42.x86_64 xxhash-libs-0.8.3-2.fc42.x86_64 xz-5.6.3-3.fc42.x86_64 xz-libs-5.6.3-3.fc42.x86_64 zig-srpm-macros-1-4.fc42.noarch zip-3.0-43.fc42.x86_64 zlib-ng-compat-2.2.3-2.fc42.x86_64 zstd-1.5.7-1.fc42.x86_64 Start: buildsrpm Start: rpmbuild -bs Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1706745600 Wrote: /builddir/build/SRPMS/aida-x-1.1.0-1.fc42.src.rpm Finish: rpmbuild -bs INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-42-x86_64-1742439237.869663/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-wq2op109/aida-x/aidax.spec) Config(child) 0 minutes 11 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.fc42.src.rpm) Config(fedora-42-x86_64) Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-42-x86_64-bootstrap-1742439237.869663/root. INFO: reusing tmpfs at /var/lib/mock/fedora-42-x86_64-bootstrap-1742439237.869663/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-42-x86_64-1742439237.869663/root. INFO: calling preinit hooks INFO: enabled root cache Start: unpacking root cache Finish: unpacking root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Buildroot is handled by package management downloaded with a bootstrap image: rpm-4.20.0-8.fc42.x86_64 rpm-sequoia-1.7.0-5.fc42.x86_64 dnf5-5.2.11.0-1.fc42.x86_64 dnf5-plugins-5.2.11.0-1.fc42.x86_64 Finish: chroot init Start: build phase for aida-x-1.1.0-1.fc42.src.rpm Start: build setup for aida-x-1.1.0-1.fc42.src.rpm Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1706745600 Wrote: /builddir/build/SRPMS/aida-x-1.1.0-1.fc42.src.rpm Updating and loading repositories: updates 100% | 212.8 KiB/s | 29.8 KiB | 00m00s fedora 100% | 189.1 KiB/s | 26.3 KiB | 00m00s Copr repository 100% | 109.0 KiB/s | 1.5 KiB | 00m00s Additional repo https_download1_rpmfus 100% | 12.0 KiB/s | 3.7 KiB | 00m00s Additional repo https_codecs_fedorapro 100% | 10.7 KiB/s | 2.3 KiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing: alsa-lib-devel x86_64 1.2.13-4.fc42 fedora 18.4 MiB cmake x86_64 3.31.6-2.fc42 fedora 34.2 MiB dbus-devel x86_64 1:1.16.0-3.fc42 fedora 131.7 KiB fftw-devel x86_64 3.3.10-15.fc42 fedora 284.2 KiB gcc x86_64 15.0.1-0.9.fc42 fedora 110.2 MiB gcc-c++ x86_64 15.0.1-0.9.fc42 fedora 40.8 MiB liblo-devel x86_64 0.32-4.fc42 fedora 1.9 MiB lv2-devel x86_64 1.18.10-2.fc42 fedora 666.7 KiB mesa-libGL-devel x86_64 25.0.1-3.fc42 fedora 80.8 KiB pulseaudio-libs-devel x86_64 17.0-5.fc42 fedora 4.9 MiB sdl2-compat-devel x86_64 2.32.50-2.fc42 fedora 2.7 MiB Installing dependencies: SDL3 x86_64 3.2.4-1.fc42 fedora 2.6 MiB abattis-cantarell-vf-fonts noarch 0.301-14.fc42 fedora 192.7 KiB adwaita-cursor-theme noarch 48~beta-1.fc42 fedora 11.4 MiB adwaita-icon-theme noarch 48~beta-1.fc42 fedora 1.2 MiB adwaita-icon-theme-legacy noarch 46.2-3.fc42 fedora 2.1 MiB alsa-lib x86_64 1.2.13-4.fc42 fedora 1.4 MiB annobin-docs noarch 12.88-1.fc42 fedora 98.6 KiB annobin-plugin-gcc x86_64 12.88-1.fc42 fedora 991.7 KiB at-spi2-atk x86_64 2.55.2-1.fc42 fedora 275.6 KiB at-spi2-core x86_64 2.55.2-1.fc42 fedora 1.5 MiB atk x86_64 2.55.2-1.fc42 fedora 248.6 KiB avahi-glib x86_64 0.9~rc2-2.fc42 fedora 23.6 KiB avahi-libs x86_64 0.9~rc2-2.fc42 fedora 183.6 KiB cairo x86_64 1.18.2-3.fc42 fedora 1.8 MiB cairo-gobject x86_64 1.18.2-3.fc42 fedora 35.1 KiB cmake-data noarch 3.31.6-2.fc42 fedora 8.5 MiB cmake-filesystem x86_64 3.31.6-2.fc42 fedora 0.0 B cmake-rpm-macros noarch 3.31.6-2.fc42 fedora 7.7 KiB colord-libs x86_64 1.4.7-6.fc42 fedora 850.7 KiB cpp x86_64 15.0.1-0.9.fc42 fedora 37.6 MiB cups-filesystem noarch 1:2.4.11-13.fc42 fedora 0.0 B cups-libs x86_64 1:2.4.11-13.fc42 fedora 618.7 KiB dbus x86_64 1:1.16.0-3.fc42 fedora 0.0 B dbus-libs x86_64 1:1.16.0-3.fc42 fedora 349.5 KiB default-fonts-core-sans noarch 4.2-4.fc42 fedora 11.9 KiB emacs-filesystem noarch 1:30.0-4.fc42 fedora 0.0 B expat x86_64 2.7.0-1.fc42 fedora 288.8 KiB fftw x86_64 3.3.10-15.fc42 fedora 198.0 KiB fftw-libs x86_64 3.3.10-15.fc42 fedora 0.0 B fftw-libs-double x86_64 3.3.10-15.fc42 fedora 3.4 MiB fftw-libs-long x86_64 3.3.10-15.fc42 fedora 1.5 MiB fftw-libs-quad x86_64 3.3.10-15.fc42 fedora 2.5 MiB fftw-libs-single x86_64 3.3.10-15.fc42 fedora 3.6 MiB flac-libs x86_64 1.4.3-6.fc42 fedora 698.1 KiB fontconfig x86_64 2.16.0-2.fc42 fedora 764.7 KiB fonts-filesystem noarch 1:2.0.5-21.fc42 fedora 0.0 B freetype x86_64 2.13.3-2.fc42 fedora 858.2 KiB fribidi x86_64 1.0.16-2.fc42 fedora 194.3 KiB gcc-plugin-annobin x86_64 15.0.1-0.9.fc42 fedora 57.2 KiB gdk-pixbuf2 x86_64 2.42.12-10.fc42 fedora 2.5 MiB gdk-pixbuf2-modules x86_64 2.42.12-10.fc42 fedora 63.4 KiB glib2 x86_64 2.84.0-1.fc42 fedora 14.7 MiB glib2-devel x86_64 2.84.0-1.fc42 fedora 15.8 MiB glibc-devel x86_64 2.41-1.fc42 fedora 2.3 MiB gnutls x86_64 3.8.9-2.fc42 fedora 3.6 MiB google-noto-fonts-common noarch 20250301-1.fc42 fedora 17.7 KiB google-noto-sans-vf-fonts noarch 20250301-1.fc42 fedora 1.4 MiB graphite2 x86_64 1.3.14-18.fc42 fedora 195.8 KiB gsm x86_64 1.0.22-8.fc42 fedora 68.8 KiB gtk-update-icon-cache x86_64 3.24.49-1.fc42 fedora 62.2 KiB gtk3 x86_64 3.24.49-1.fc42 fedora 23.1 MiB harfbuzz x86_64 10.4.0-1.fc42 fedora 2.7 MiB hicolor-icon-theme noarch 0.17-20.fc42 fedora 72.2 KiB hwdata noarch 0.393-1.fc42 fedora 9.4 MiB jbigkit-libs x86_64 2.1-31.fc42 fedora 121.4 KiB json-glib x86_64 1.10.6-2.fc42 fedora 590.7 KiB jsoncpp x86_64 1.9.6-1.fc42 fedora 261.6 KiB kernel-headers x86_64 6.14.0-0.rc7.56.fc42 fedora 6.5 MiB lame-libs x86_64 3.100-19.fc42 fedora 1.2 MiB lcms2 x86_64 2.16-5.fc42 fedora 437.7 KiB libX11 x86_64 1.8.11-1.fc42 fedora 1.3 MiB libX11-common noarch 1.8.11-1.fc42 fedora 1.2 MiB libX11-devel x86_64 1.8.11-1.fc42 fedora 1.0 MiB libX11-xcb x86_64 1.8.11-1.fc42 fedora 10.9 KiB libXau x86_64 1.0.12-2.fc42 fedora 76.9 KiB libXau-devel x86_64 1.0.12-2.fc42 fedora 7.5 KiB libXcomposite x86_64 0.4.6-5.fc42 fedora 44.4 KiB libXcursor x86_64 1.2.3-2.fc42 fedora 57.4 KiB libXdamage x86_64 1.1.6-5.fc42 fedora 43.6 KiB libXext x86_64 1.3.6-3.fc42 fedora 90.0 KiB libXfixes x86_64 6.0.1-5.fc42 fedora 30.2 KiB libXft x86_64 2.3.8-8.fc42 fedora 168.4 KiB libXi x86_64 1.8.2-2.fc42 fedora 84.6 KiB libXinerama x86_64 1.1.5-8.fc42 fedora 19.0 KiB libXrandr x86_64 1.5.4-5.fc42 fedora 55.8 KiB libXrender x86_64 0.9.12-2.fc42 fedora 50.0 KiB libXtst x86_64 1.2.5-2.fc42 fedora 33.5 KiB libXxf86vm x86_64 1.1.6-2.fc42 fedora 29.2 KiB libasyncns x86_64 0.8-30.fc42 fedora 59.5 KiB libb2 x86_64 0.98.1-13.fc42 fedora 46.1 KiB libblkid-devel x86_64 2.40.4-7.fc42 fedora 44.9 KiB libcloudproviders x86_64 0.3.6-1.fc42 fedora 124.3 KiB libdatrie x86_64 0.2.13-11.fc42 fedora 57.8 KiB libdecor x86_64 0.2.2-5.fc42 fedora 173.2 KiB libdrm x86_64 2.4.124-2.fc42 fedora 407.9 KiB libdrm-devel x86_64 2.4.124-2.fc42 fedora 708.5 KiB libedit x86_64 3.1-55.20250104cvs.fc42 fedora 244.1 KiB libepoxy x86_64 1.5.10-9.fc42 fedora 1.1 MiB libffi-devel x86_64 3.4.6-5.fc42 fedora 33.1 KiB libglvnd x86_64 1:1.7.0-7.fc42 fedora 530.2 KiB libglvnd-core-devel x86_64 1:1.7.0-7.fc42 fedora 40.3 KiB libglvnd-devel x86_64 1:1.7.0-7.fc42 fedora 2.1 MiB libglvnd-egl x86_64 1:1.7.0-7.fc42 fedora 68.7 KiB libglvnd-gles x86_64 1:1.7.0-7.fc42 fedora 105.9 KiB libglvnd-glx x86_64 1:1.7.0-7.fc42 fedora 609.2 KiB libglvnd-opengl x86_64 1:1.7.0-7.fc42 fedora 148.8 KiB libgusb x86_64 0.4.9-3.fc42 fedora 162.0 KiB libicu x86_64 76.1-4.fc42 fedora 36.3 MiB libjpeg-turbo x86_64 3.1.0-2.fc42 fedora 803.2 KiB liblerc x86_64 4.0.0-8.fc42 fedora 636.1 KiB liblo x86_64 0.32-4.fc42 fedora 192.5 KiB libmount-devel x86_64 2.40.4-7.fc42 fedora 63.5 KiB libmpc x86_64 1.3.1-7.fc42 fedora 164.5 KiB libogg x86_64 2:1.3.5-11.fc42 fedora 45.3 KiB libpciaccess x86_64 0.16-15.fc42 fedora 44.5 KiB libpciaccess-devel x86_64 0.16-15.fc42 fedora 15.3 KiB libpng x86_64 2:1.6.44-2.fc42 fedora 241.7 KiB libquadmath x86_64 15.0.1-0.9.fc42 fedora 321.9 KiB libselinux-devel x86_64 3.8-1.fc42 fedora 126.8 KiB libsepol-devel x86_64 3.8-1.fc42 fedora 120.8 KiB libsndfile x86_64 1.2.2-8.fc42 fedora 550.0 KiB libsoup3 x86_64 3.6.4-2.fc42 fedora 1.1 MiB libstdc++-devel x86_64 15.0.1-0.9.fc42 fedora 15.9 MiB libthai x86_64 0.1.29-10.fc42 fedora 783.4 KiB libtiff x86_64 4.7.0-3.fc42 fedora 619.1 KiB libtinysparql x86_64 3.9~rc-1.fc42 fedora 1.3 MiB libusb1 x86_64 1.0.27-9.fc42 fedora 166.5 KiB libuv x86_64 1:1.50.0-1.fc42 fedora 566.8 KiB libvorbis x86_64 1:1.3.7-12.fc42 fedora 833.4 KiB libwayland-client x86_64 1.23.0-3.fc42 fedora 62.1 KiB libwayland-cursor x86_64 1.23.0-3.fc42 fedora 37.3 KiB libwayland-egl x86_64 1.23.0-3.fc42 fedora 12.4 KiB libwayland-server x86_64 1.23.0-3.fc42 fedora 78.7 KiB libwebp x86_64 1.5.0-2.fc42 fedora 947.6 KiB libxcb x86_64 1.17.0-5.fc42 fedora 1.1 MiB libxcb-devel x86_64 1.17.0-5.fc42 fedora 2.7 MiB libxcrypt-devel x86_64 4.4.38-6.fc42 fedora 30.8 KiB libxkbcommon x86_64 1.8.0-1.fc42 fedora 364.7 KiB libxshmfence x86_64 1.3.2-6.fc42 fedora 12.4 KiB llvm-filesystem x86_64 20.1.0-1.fc42 fedora 0.0 B llvm-libs x86_64 20.1.0-1.fc42 fedora 137.0 MiB lm_sensors-libs x86_64 3.6.0-22.fc42 fedora 85.8 KiB lv2 x86_64 1.18.10-2.fc42 fedora 334.8 KiB make x86_64 1:4.4.1-10.fc42 fedora 1.8 MiB mesa-dri-drivers x86_64 25.0.1-3.fc42 fedora 164.9 MiB mesa-filesystem x86_64 25.0.1-3.fc42 fedora 3.6 KiB mesa-libEGL x86_64 25.0.1-3.fc42 fedora 335.2 KiB mesa-libGL x86_64 25.0.1-3.fc42 fedora 424.1 KiB mesa-libGLU x86_64 9.0.3-6.fc42 fedora 361.7 KiB mesa-libGLU-devel x86_64 9.0.3-6.fc42 fedora 17.0 KiB mesa-libgbm x86_64 25.0.1-3.fc42 fedora 19.7 KiB mpdecimal x86_64 4.0.0-2.fc42 fedora 216.8 KiB mpg123-libs x86_64 1.32.9-2.fc42 fedora 813.6 KiB nettle x86_64 3.10.1-1.fc42 fedora 790.5 KiB opus x86_64 1.5.2-2.fc42 fedora 427.5 KiB pango x86_64 1.56.2-1.fc42 fedora 991.7 KiB pcre2-devel x86_64 10.45-1.fc42 fedora 2.1 MiB pcre2-utf16 x86_64 10.45-1.fc42 fedora 626.3 KiB pcre2-utf32 x86_64 10.45-1.fc42 fedora 598.2 KiB pixman x86_64 0.44.2-2.fc42 fedora 674.2 KiB pulseaudio-libs x86_64 17.0-5.fc42 fedora 3.4 MiB pulseaudio-libs-glib2 x86_64 17.0-5.fc42 fedora 19.7 KiB python-pip-wheel noarch 24.3.1-2.fc42 fedora 1.2 MiB python3 x86_64 3.13.2-2.fc42 fedora 27.6 KiB python3-libs x86_64 3.13.2-2.fc42 fedora 39.9 MiB python3-markdown noarch 3.7-4.fc42 fedora 689.1 KiB python3-packaging noarch 24.2-3.fc42 fedora 555.7 KiB python3-pyparsing noarch 3.1.2-8.fc42 fedora 996.4 KiB python3-rdflib noarch 7.1.3-1.fc42 fedora 4.4 MiB rhash x86_64 1.4.5-2.fc42 fedora 351.0 KiB sdl2-compat x86_64 2.32.50-2.fc42 fedora 373.3 KiB shared-mime-info x86_64 2.3-7.fc42 fedora 5.2 MiB spirv-tools-libs x86_64 2024.4-2.fc42 fedora 5.6 MiB sysprof-capture-devel x86_64 48~rc-1.fc42 fedora 273.8 KiB systemd-devel x86_64 257.3-7.fc42 fedora 610.5 KiB systemd-rpm-macros noarch 257.3-7.fc42 fedora 10.7 KiB tzdata noarch 2025a-1.fc42 fedora 1.6 MiB vim-filesystem noarch 2:9.1.1202-1.fc42 fedora 40.0 B xkeyboard-config noarch 2.44-1.fc42 fedora 6.6 MiB xml-common noarch 0.6.3-66.fc42 fedora 78.4 KiB xorg-x11-proto-devel noarch 2024.1-4.fc42 fedora 1.7 MiB xprop x86_64 1.2.8-3.fc42 fedora 54.7 KiB zlib-ng-compat-devel x86_64 2.2.3-2.fc42 fedora 107.0 KiB Transaction Summary: Installing: 184 packages Total size of inbound packages is 227 MiB. 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0.0 B/s | 41.1 KiB | 00m00s [163/186] Installing libglvnd-devel-1:1 100% | 530.1 MiB/s | 2.1 MiB | 00m00s [164/186] Installing mesa-libGLU-devel- 100% | 0.0 B/s | 17.5 KiB | 00m00s [165/186] Installing vim-filesystem-2:9 100% | 4.6 MiB/s | 4.7 KiB | 00m00s [166/186] Installing emacs-filesystem-1 100% | 0.0 B/s | 544.0 B | 00m00s [167/186] Installing lv2-0:1.18.10-2.fc 100% | 114.4 MiB/s | 351.5 KiB | 00m00s [168/186] Installing liblo-0:0.32-4.fc4 100% | 15.9 MiB/s | 195.3 KiB | 00m00s [169/186] Installing rhash-0:1.4.5-2.fc 100% | 26.8 MiB/s | 356.4 KiB | 00m00s [170/186] Installing libuv-1:1.50.0-1.f 100% | 278.1 MiB/s | 569.6 KiB | 00m00s [171/186] Installing jsoncpp-0:1.9.6-1. 100% | 36.7 MiB/s | 263.1 KiB | 00m00s [172/186] Installing cmake-data-0:3.31. 100% | 135.3 MiB/s | 9.1 MiB | 00m00s [173/186] Installing cmake-0:3.31.6-2.f 100% | 380.3 MiB/s | 34.2 MiB | 00m00s [174/186] Installing alsa-lib-0:1.2.13- 100% | 78.4 MiB/s | 1.4 MiB | 00m00s [175/186] Installing alsa-lib-devel-0:1 100% | 544.8 MiB/s | 18.5 MiB | 00m00s [176/186] Installing liblo-devel-0:0.32 100% | 392.7 MiB/s | 2.0 MiB | 00m00s [177/186] Installing lv2-devel-0:1.18.1 100% | 42.2 MiB/s | 691.8 KiB | 00m00s [178/186] Installing sdl2-compat-devel- 100% | 160.0 MiB/s | 2.7 MiB | 00m00s [179/186] Installing mesa-libGL-devel-0 100% | 79.6 MiB/s | 81.5 KiB | 00m00s [180/186] Installing pulseaudio-libs-de 100% | 415.9 MiB/s | 5.0 MiB | 00m00s [181/186] Installing fftw-devel-0:3.3.1 100% | 283.5 MiB/s | 290.3 KiB | 00m00s [182/186] Installing gcc-c++-0:15.0.1-0 100% | 396.5 MiB/s | 40.8 MiB | 00m00s [183/186] Installing dbus-devel-1:1.16. 100% | 133.3 MiB/s | 136.5 KiB | 00m00s [184/186] Installing annobin-plugin-gcc 100% | 80.8 MiB/s | 993.4 KiB | 00m00s [185/186] Installing gcc-plugin-annobin 100% | 4.8 MiB/s | 58.6 KiB | 00m00s [186/186] Installing systemd-rpm-macros 100% | 29.1 KiB/s | 11.3 KiB | 00m00s Complete! Finish: build setup for aida-x-1.1.0-1.fc42.src.rpm Start: rpmbuild aida-x-1.1.0-1.fc42.src.rpm Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1706745600 Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.V1lFoK + umask 022 + cd /builddir/build/BUILD/aida-x-1.1.0-build + test -d /builddir/build/BUILD/aida-x-1.1.0-build + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/aida-x-1.1.0-build + /usr/bin/rm -rf /builddir/build/BUILD/aida-x-1.1.0-build + /usr/bin/mkdir -p /builddir/build/BUILD/aida-x-1.1.0-build + /usr/bin/mkdir -p /builddir/build/BUILD/aida-x-1.1.0-build/SPECPARTS + RPM_EC=0 ++ jobs -p + exit 0 Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.kqDLuo + 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.emtc9Q + umask 022 + cd /builddir/build/BUILD/aida-x-1.1.0-build + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd AIDA-X + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + /usr/bin/cmake -S . -B redhat-linux-build -DCMAKE_C_FLAGS_RELEASE:STRING=-DNDEBUG -DCMAKE_CXX_FLAGS_RELEASE:STRING=-DNDEBUG -DCMAKE_Fortran_FLAGS_RELEASE:STRING=-DNDEBUG -DCMAKE_VERBOSE_MAKEFILE:BOOL=ON -DCMAKE_INSTALL_DO_STRIP:BOOL=OFF -DCMAKE_INSTALL_PREFIX:PATH=/usr -DCMAKE_INSTALL_FULL_SBINDIR:PATH=/usr/bin -DCMAKE_INSTALL_SBINDIR:PATH=bin -DINCLUDE_INSTALL_DIR:PATH=/usr/include -DLIB_INSTALL_DIR:PATH=/usr/lib64 -DSYSCONF_INSTALL_DIR:PATH=/etc -DSHARE_INSTALL_PREFIX:PATH=/usr/share -DLIB_SUFFIX=64 -DBUILD_SHARED_LIBS:BOOL=ON -- The C compiler identification is GNU 15.0.1 -- The CXX compiler identification is GNU 15.0.1 -- 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 x86_64 and system name Linux CMake Deprecation Warning at modules/dpf/CMakeLists.txt:6 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument value. Or, use the ... syntax to tell CMake that the project requires at least but has been updated to work with policies introduced by or earlier. CMake Deprecation Warning at modules/rtneural/CMakeLists.txt:1 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument value. Or, use the ... syntax to tell CMake that the project requires at least but has been updated to work with policies introduced by or earlier. -- RTNeural -- Using Eigen backend (Default) -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success -- Found Threads: TRUE -- Found OpenGL: /usr/lib64/libOpenGL.so -- Found PkgConfig: /usr/bin/pkg-config (found version "2.3.0") -- Checking for module 'dbus-1' -- Found dbus-1, version 1.16.0 -- Found X11: /usr/include -- Looking for XOpenDisplay in /usr/lib64/libX11.so -- Looking for XOpenDisplay in /usr/lib64/libX11.so - found -- Looking for gethostbyname -- Looking for gethostbyname - found -- Looking for connect -- Looking for connect - found -- Looking for remove -- Looking for remove - found -- Looking for shmat -- Looking for shmat - found CMake Warning (dev) at modules/dpf/cmake/DPF-plugin.cmake:385 (add_custom_command): The following keywords are not supported when using add_custom_command(TARGET): DEPENDS. Policy CMP0175 is not set: add_custom_command() rejects invalid arguments. Run "cmake --help-policy CMP0175" for policy details. Use the cmake_policy command to set the policy and suppress this warning. Call Stack (most recent call first): modules/dpf/cmake/DPF-plugin.cmake:188 (dpf__build_lv2) CMakeLists.txt:44 (dpf_add_plugin) This warning is for project developers. Use -Wno-dev to suppress it. -- Checking for module 'sdl2' -- Found sdl2, version 2.32.50 -- Checking for module 'alsa' -- Found alsa, version 1.2.13 -- 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. -- Configuring done (1.4s) 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. -- Generating done (0.0s) CMake Warning: Manually-specified variables were not used by the project: CMAKE_CXX_FLAGS_RELEASE CMAKE_C_FLAGS_RELEASE CMAKE_Fortran_FLAGS_RELEASE CMAKE_INSTALL_DO_STRIP CMAKE_INSTALL_FULL_SBINDIR CMAKE_INSTALL_SBINDIR INCLUDE_INSTALL_DIR LIB_INSTALL_DIR LIB_SUFFIX SHARE_INSTALL_PREFIX SYSCONF_INSTALL_DIR -- Build files have been written to: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build + /usr/bin/cmake --build redhat-linux-build -j4 --verbose Change Dir: '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' Run Build Command(s): /usr/bin/cmake -E env VERBOSE=1 /usr/bin/gmake -f Makefile -j4 /usr/bin/cmake -S/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X -B/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build//CMakeFiles/progress.marks /usr/bin/gmake -f CMakeFiles/Makefile2 all gmake[1]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/dgl-opengl.dir/build.make CMakeFiles/dgl-opengl.dir/depend /usr/bin/gmake -f modules/rtneural/RTNeural/CMakeFiles/RTNeural.dir/build.make modules/rtneural/RTNeural/CMakeFiles/RTNeural.dir/depend /usr/bin/gmake -f CMakeFiles/lv2_ttl_generator.dir/build.make CMakeFiles/lv2_ttl_generator.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/dgl-opengl.dir/DependInfo.cmake "--color=" gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/modules/rtneural/RTNeural /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/modules/rtneural/RTNeural/CMakeFiles/RTNeural.dir/DependInfo.cmake "--color=" gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/lv2_ttl_generator.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/lv2_ttl_generator.dir/build.make CMakeFiles/lv2_ttl_generator.dir/build gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/dgl-opengl.dir/build.make CMakeFiles/dgl-opengl.dir/build gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f modules/rtneural/RTNeural/CMakeFiles/RTNeural.dir/build.make modules/rtneural/RTNeural/CMakeFiles/RTNeural.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 1%] Building C object CMakeFiles/lv2_ttl_generator.dir/modules/dpf/utils/lv2-ttl-generator/lv2_ttl_generator.c.o [ 2%] Building CXX object modules/rtneural/RTNeural/CMakeFiles/RTNeural.dir/RTNeural.cpp.o [ 3%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Application.cpp.o /usr/bin/gcc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong 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-flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -MD -MT modules/rtneural/RTNeural/CMakeFiles/RTNeural.dir/RTNeural.cpp.o -MF CMakeFiles/RTNeural.dir/RTNeural.cpp.o.d -o CMakeFiles/RTNeural.dir/RTNeural.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/RTNeural.cpp /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 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/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/ApplicationPrivateData.cpp:20: /usr/include/c++/15/cstdbool:48:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 48 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ /usr/bin/gcc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes 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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 [ 10%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Geometry.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong 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-I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/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 [ 15%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/SubWidget.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -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 [ 16%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/SubWidgetPrivateData.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/SubWidgetPrivateData.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/SubWidgetPrivateData.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/SubWidgetPrivateData.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/SubWidgetPrivateData.cpp [ 17%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/TopLevelWidget.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/TopLevelWidget.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/TopLevelWidget.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/TopLevelWidget.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/TopLevelWidget.cpp [ 19%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/TopLevelWidgetPrivateData.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/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++/15/cstdbool:48:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 48 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ [ 20%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Widget.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Widget.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Widget.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Widget.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/Widget.cpp [ 21%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/WidgetPrivateData.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/WidgetPrivateData.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/WidgetPrivateData.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/WidgetPrivateData.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WidgetPrivateData.cpp [ 23%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Window.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Window.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Window.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Window.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/Window.cpp [ 24%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/WindowPrivateData.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/WindowPrivateData.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/WindowPrivateData.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/WindowPrivateData.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.cpp In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/Window.cpp:17: /usr/include/c++/15/cstdbool:48:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 48 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ [ 25%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/OpenGL.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/OpenGL.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/OpenGL.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/OpenGL.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/OpenGL.cpp In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.cpp:17: /usr/include/c++/15/cstdbool:48:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 48 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/OpenGL.cpp:29: /usr/include/c++/15/cstdbool:48:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 48 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ [ 26%] Linking CXX static library libRTNeural.a cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/modules/rtneural/RTNeural && /usr/bin/cmake -P CMakeFiles/RTNeural.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/modules/rtneural/RTNeural && /usr/bin/cmake -E cmake_link_script CMakeFiles/RTNeural.dir/link.txt --verbose=1 /usr/bin/ar qc libRTNeural.a CMakeFiles/RTNeural.dir/RTNeural.cpp.o /usr/bin/ranlib libRTNeural.a gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 26%] Built target RTNeural [ 28%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/NanoVG.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/NanoVG.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/NanoVG.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/NanoVG.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/NanoVG.cpp /usr/bin/gmake -f CMakeFiles/AIDA-X.dir/build.make CMakeFiles/AIDA-X.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/AIDA-X.dir/build.make CMakeFiles/AIDA-X.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 29%] Building C object CMakeFiles/AIDA-X.dir/_dpf_empty.c.o /usr/bin/gcc -DDGL_OPENGL -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -std=gnu11 -fPIC -fvisibility=hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X.dir/_dpf_empty.c.o -MF CMakeFiles/AIDA-X.dir/_dpf_empty.c.o.d -o CMakeFiles/AIDA-X.dir/_dpf_empty.c.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/_dpf_empty.c [ 30%] Linking CXX static library libAIDA-X.a /usr/bin/cmake -P CMakeFiles/AIDA-X.dir/cmake_clean_target.cmake /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X.dir/link.txt --verbose=1 /usr/bin/ar qc libAIDA-X.a "CMakeFiles/AIDA-X.dir/_dpf_empty.c.o" /usr/bin/ranlib libAIDA-X.a gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 30%] Built target AIDA-X [ 32%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Resources.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Resources.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Resources.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Resources.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/Resources.cpp /usr/bin/gmake -f CMakeFiles/AIDA-X-Standalone.dir/build.make CMakeFiles/AIDA-X-Standalone.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-Standalone.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/AIDA-X-Standalone.dir/build.make CMakeFiles/AIDA-X-Standalone.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 33%] Building C object CMakeFiles/AIDA-X-Standalone.dir/_dpf_empty.c.o /usr/bin/gcc -DDGL_OPENGL -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -std=gnu11 -fPIC -fvisibility=hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone.dir/_dpf_empty.c.o -MF CMakeFiles/AIDA-X-Standalone.dir/_dpf_empty.c.o.d -o CMakeFiles/AIDA-X-Standalone.dir/_dpf_empty.c.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/_dpf_empty.c [ 34%] Linking CXX static library libAIDA-X-Standalone.a /usr/bin/cmake -P CMakeFiles/AIDA-X-Standalone.dir/cmake_clean_target.cmake /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-Standalone.dir/link.txt --verbose=1 /usr/bin/gmake -f CMakeFiles/AIDA-X-dsp.dir/build.make CMakeFiles/AIDA-X-dsp.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 35%] Generating Files.cpp /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/utils/res2c.py Files /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/files /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /usr/bin/ar qc libAIDA-X-Standalone.a "CMakeFiles/AIDA-X-Standalone.dir/_dpf_empty.c.o" /usr/bin/ranlib libAIDA-X-Standalone.a gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 35%] Built target AIDA-X-Standalone [ 37%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/pugl.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/pugl.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/pugl.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/pugl.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.cpp Generating data for "/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/files/V30-P2-audix-i5-deerinkstudios.wav" Generating data for "/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/files/tw40_california_clean_deerinkstudios.json" cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-dsp.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/AIDA-X-dsp.dir/build.make CMakeFiles/AIDA-X-dsp.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 38%] Building CXX object CMakeFiles/AIDA-X-dsp.dir/Files.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-dsp.dir/Files.cpp.o -MF CMakeFiles/AIDA-X-dsp.dir/Files.cpp.o.d -o CMakeFiles/AIDA-X-dsp.dir/Files.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/Files.cpp In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.cpp:17: /usr/include/c++/15/cstdbool:48:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 48 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ [ 39%] Building CXX object CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/AudioFFT.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/AudioFFT.cpp.o -MF CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/AudioFFT.cpp.o.d -o CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/AudioFFT.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver/AudioFFT.cpp /usr/bin/gmake -f CMakeFiles/AIDA-X-Standalone-dsp.dir/build.make CMakeFiles/AIDA-X-Standalone-dsp.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-Standalone-dsp.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/AIDA-X-Standalone-dsp.dir/build.make CMakeFiles/AIDA-X-Standalone-dsp.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 41%] Building CXX object CMakeFiles/AIDA-X-Standalone-dsp.dir/Files.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-dsp.dir/Files.cpp.o -MF CMakeFiles/AIDA-X-Standalone-dsp.dir/Files.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-dsp.dir/Files.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/Files.cpp [ 42%] Building CXX object CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/AudioFFT.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/AudioFFT.cpp.o -MF CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/AudioFFT.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/AudioFFT.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver/AudioFFT.cpp [ 43%] Building CXX object CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/FFTConvolver.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/FFTConvolver.cpp.o -MF CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/FFTConvolver.cpp.o.d -o CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/FFTConvolver.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver/FFTConvolver.cpp In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../distrho/extra/FileBrowserDialogImpl.cpp:50, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.cpp:120: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../distrho/extra/sofd/libsofd.c: In function ‘x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../distrho/extra/sofd/libsofd.c:314:52: warning: ‘%s’ directive writing up to 1013 bytes into a region of size between 10 and 1023 [-Wformat-overflow=] 314 | sprintf(recent_file, "%s" PATHSEP "%s" PATHSEP "recent", xdg, appname); | ^~ In file included from /usr/include/stdio.h:970, from /usr/include/c++/15/cstdio:47, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../distrho/extra/../DistrhoUtils.hpp:23, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../distrho/extra/LeakDetector.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../Base.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:20: In function ‘sprintf’, inlined from ‘x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../distrho/extra/sofd/libsofd.c:314:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 9 and 2035 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../distrho/extra/sofd/libsofd.c: In function ‘x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../distrho/extra/sofd/libsofd.c:333:55: warning: ‘%s’ directive writing up to 1001 bytes into a region of size between 9 and 1010 [-Wformat-overflow=] 333 | sprintf(recent_file, "%s/.local/share/%s/recent", home, appname); | ^~ In function ‘sprintf’, inlined from ‘x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/../../distrho/extra/sofd/libsofd.c:333:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 22 and 2024 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ [ 44%] Building CXX object CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/TwoStageFFTConvolver.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/TwoStageFFTConvolver.cpp.o -MF CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/TwoStageFFTConvolver.cpp.o.d -o CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/TwoStageFFTConvolver.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver/TwoStageFFTConvolver.cpp [ 46%] Building CXX object CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/FFTConvolver.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/FFTConvolver.cpp.o -MF CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/FFTConvolver.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/FFTConvolver.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver/FFTConvolver.cpp [ 47%] Building CXX object CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/Utilities.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/Utilities.cpp.o -MF CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/Utilities.cpp.o.d -o CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/Utilities.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver/Utilities.cpp [ 48%] Building CXX 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-I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-dsp.dir/src/aidadsp-plugin.cpp.o -MF CMakeFiles/AIDA-X-dsp.dir/src/aidadsp-plugin.cpp.o.d -o CMakeFiles/AIDA-X-dsp.dir/src/aidadsp-plugin.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp In file included from /usr/include/c++/15/backward/strstream:50, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp:19: /usr/include/c++/15/backward/backward_warning.h:32:2: warning: #warning This file includes at least one deprecated or antiquated header which may be removed without further notice at a future date. Please use a non-deprecated interface with equivalent functionality instead. For a listing of replacement headers and interfaces, consult the file backward_warning.h. To disable this warning use -Wno-deprecated. [-Wcpp] 32 | #warning \ | ^~~~~~~ [ 57%] Building CXX object CMakeFiles/AIDA-X-dsp.dir/src/Biquad.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-dsp.dir/src/Biquad.cpp.o -MF CMakeFiles/AIDA-X-dsp.dir/src/Biquad.cpp.o.d -o CMakeFiles/AIDA-X-dsp.dir/src/Biquad.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/Biquad.cpp [ 58%] Building CXX object CMakeFiles/AIDA-X-Standalone-dsp.dir/src/aidadsp-plugin.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-dsp.dir/src/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 [ 60%] Building CXX object CMakeFiles/AIDA-X-dsp.dir/src/3rd-party.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-dsp.dir/src/3rd-party.cpp.o -MF CMakeFiles/AIDA-X-dsp.dir/src/3rd-party.cpp.o.d -o CMakeFiles/AIDA-X-dsp.dir/src/3rd-party.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/3rd-party.cpp In file included from /usr/include/c++/15/backward/strstream:50, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp:19: /usr/include/c++/15/backward/backward_warning.h:32:2: warning: #warning This file includes at least one deprecated or antiquated header which may be removed without further notice at a future date. Please use a non-deprecated interface with equivalent functionality instead. For a listing of replacement headers and interfaces, consult the file backward_warning.h. To disable this warning use -Wno-deprecated. [-Wcpp] 32 | #warning \ | ^~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp: In member function ‘void AidaDISTRHO::AidaDSPLoaderPlugin::loadDefaultModel()’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp:620:39: warning: ‘istrstream’ is deprecated: use 'std::istringstream' instead [-Wdeprecated-declarations] 620 | std::istrstream jsonStream(static_cast(static_cast(tw40_california_clean_deerinkstudiosData)), | ^ /usr/include/c++/15/backward/strstream:166:9: note: declared here 166 | class istrstream : public basic_istream | ^~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp: In member function ‘void AidaDISTRHO::AidaDSPLoaderPlugin::loadDefaultModel()’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp:620:39: warning: ‘istrstream’ is deprecated: use 'std::istringstream' instead [-Wdeprecated-declarations] 620 | std::istrstream jsonStream(static_cast(static_cast(tw40_california_clean_deerinkstudiosData)), | ^ /usr/include/c++/15/backward/strstream:166:9: note: declared here 166 | class istrstream : public basic_istream | ^~~~~~~~~~ [ 61%] Linking CXX static library libdgl-opengl.a /usr/bin/cmake -P CMakeFiles/dgl-opengl.dir/cmake_clean_target.cmake /usr/bin/cmake -E cmake_link_script CMakeFiles/dgl-opengl.dir/link.txt --verbose=1 /usr/bin/ar qc libdgl-opengl.a "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Application.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/ApplicationPrivateData.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Color.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/EventHandlers.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Geometry.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/ImageBase.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/ImageBaseWidgets.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Layout.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/SubWidget.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/SubWidgetPrivateData.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/TopLevelWidget.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/TopLevelWidgetPrivateData.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Widget.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/WidgetPrivateData.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Window.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/WindowPrivateData.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/OpenGL.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/NanoVG.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Resources.cpp.o" "CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/pugl.cpp.o" /usr/bin/ranlib libdgl-opengl.a gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 61%] Built target dgl-opengl [ 62%] Building CXX object CMakeFiles/AIDA-X-Standalone-dsp.dir/src/Biquad.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-dsp.dir/src/Biquad.cpp.o -MF CMakeFiles/AIDA-X-Standalone-dsp.dir/src/Biquad.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-dsp.dir/src/Biquad.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/Biquad.cpp /usr/bin/gmake -f CMakeFiles/AIDA-X-ui.dir/build.make CMakeFiles/AIDA-X-ui.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 64%] Generating Graphics.cpp /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/utils/res2c.py Graphics /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/graphics/png /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build Generating data for "/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/graphics/png/aida.png" Generating data for "/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/graphics/png/ax-amp-on.png" Generating data for "/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/graphics/png/ax-amp.png" Generating data for "/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/graphics/png/ax-cab-on.png" Generating data for "/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/graphics/png/ax-cab.png" Generating data for "/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/graphics/png/ax.png" Generating data for "/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/graphics/png/background-p2.png" Generating data for "/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/graphics/png/background.png" Generating data for "/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/graphics/png/knob.png" Generating data for "/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/graphics/png/scale.png" cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-ui.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/AIDA-X-ui.dir/build.make CMakeFiles/AIDA-X-ui.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 65%] Building CXX object CMakeFiles/AIDA-X-ui.dir/Graphics.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-ui.dir/Graphics.cpp.o -MF CMakeFiles/AIDA-X-ui.dir/Graphics.cpp.o.d -o CMakeFiles/AIDA-X-ui.dir/Graphics.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/Graphics.cpp [ 66%] Building CXX object CMakeFiles/AIDA-X-ui.dir/src/aidadsp-ui.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 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-mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-dsp.dir/src/3rd-party.cpp.o -MF CMakeFiles/AIDA-X-Standalone-dsp.dir/src/3rd-party.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-dsp.dir/src/3rd-party.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/3rd-party.cpp /usr/bin/gmake -f CMakeFiles/AIDA-X-Standalone-ui.dir/build.make CMakeFiles/AIDA-X-Standalone-ui.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X 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-fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-ui.dir/modules/dpf-widgets/opengl/Blendish.cpp.o -MF CMakeFiles/AIDA-X-Standalone-ui.dir/modules/dpf-widgets/opengl/Blendish.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-ui.dir/modules/dpf-widgets/opengl/Blendish.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl/Blendish.cpp [ 73%] Building CXX object CMakeFiles/AIDA-X-Standalone-ui.dir/src/aidadsp-ui.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 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cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-lv2-ui.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/AIDA-X-lv2-ui.dir/build.make CMakeFiles/AIDA-X-lv2-ui.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 76%] Building CXX object CMakeFiles/AIDA-X-lv2-ui.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o /usr/bin/g++ -DAIDA_X_lv2_ui_EXPORTS -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_LV2 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-lv2-ui.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -MF CMakeFiles/AIDA-X-lv2-ui.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o.d -o CMakeFiles/AIDA-X-lv2-ui.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:65, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp:17: /usr/include/c++/15/cstdbool:48:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 48 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense.h:9, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/Model.h:16, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/RTNeural.h:19, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:2, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp:13: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 8; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 1; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 1; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:658:41: required from here 658 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru.h:8, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/Model.h:17: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 1; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 1; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:658:41: required from here 658 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 2; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 2; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:662:41: required from here 662 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 3; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 3; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:666:41: required from here 666 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 12; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 4; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 4; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:670:42: required from here 670 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 4; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 4; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:670:42: required from here 670 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 5; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 5; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:674:42: required from here 674 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 6; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 6; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:678:42: required from here 678 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 16; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 7; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 7; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:682:42: required from here 682 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 7; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 7; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:682:42: required from here 682 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 8; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 8; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:686:42: required from here 686 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 9; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 9; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:690:42: required from here 690 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 20; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 10; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 10; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:694:42: required from here 694 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 10; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 10; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:694:42: required from here 694 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 11; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 11; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:698:42: required from here 698 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 12; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 12; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:702:42: required from here 702 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 24; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 13; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 13; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:706:42: required from here 706 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 13; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 13; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:706:42: required from here 706 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 14; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 14; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:710:42: required from here 710 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 15; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 15; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:714:42: required from here 714 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 32; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 16; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 16; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:718:42: required from here 718 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 16; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 16; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:718:42: required from here 718 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 17; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 17; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:722:42: required from here 722 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 18; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 18; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:726:42: required from here 726 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 40; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 19; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 19; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:730:42: required from here 730 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 19; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 19; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:730:42: required from here 730 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 20; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 20; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:734:42: required from here 734 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 21; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 21; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:738:42: required from here 738 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 64; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 22; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 22; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:742:42: required from here 742 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 22; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 22; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:742:42: required from here 742 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 23; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 23; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:746:42: required from here 746 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 24; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 24; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:750:42: required from here 750 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 80; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 25; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 25; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:754:42: required from here 754 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 25; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 25; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:754:42: required from here 754 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 26; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 26; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:758:42: required from here 758 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 27; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 27; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:762:42: required from here 762 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm.h:6, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/Model.h:19: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 28; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 28; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:766:42: required from here 766 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 29; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 29; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:770:42: required from here 770 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 30; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 30; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:774:42: required from here 774 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 31; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 31; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:778:43: required from here 778 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 32; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 32; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:782:43: required from here 782 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 33; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 33; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:786:43: required from here 786 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 34; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 34; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:790:43: required from here 790 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 35; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 35; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:794:43: required from here 794 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 36; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 36; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:798:43: required from here 798 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 37; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 37; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:802:43: required from here 802 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 38; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 38; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:806:43: required from here 806 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 39; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 39; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:810:43: required from here 810 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 40; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 40; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:814:43: required from here 814 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 41; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 41; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:818:43: required from here 818 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 42; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 42; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:822:43: required from here 822 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 43; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 43; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:826:43: required from here 826 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense.h:9, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/Model.h:16, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/RTNeural.h:19, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:2, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/aidadsp-plugin.cpp:13: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 8; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 1; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 1; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:658:41: required from here 658 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 44; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 44; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:830:43: required from here 830 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 45; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 45; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:834:43: required from here 834 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 46; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 46; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:838:43: required from here 838 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 47; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 47; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:842:43: required from here 842 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru.h:8, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/Model.h:17: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 1; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 1; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:658:41: required from here 658 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 48; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 48; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:846:43: required from here 846 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 49; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 49; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 2; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 2; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:662:41: required from here 662 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ ectionMode::None>, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:850:43: required from here 850 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 50; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 50; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:854:43: required from here 854 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 51; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 51; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:858:43: required from here 858 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 52; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 52; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:862:43: required from here 862 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 3; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 3; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:666:41: required from here 666 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 53; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 53; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:866:43: required from here 866 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 54; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 54; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:870:43: required from here 870 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 12; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 4; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 4; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:670:42: required from here 670 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 4; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 4; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:670:42: required from here 670 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 5; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 5; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:674:42: required from here 674 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 6; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 6; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:678:42: required from here 678 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 16; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 7; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 7; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:682:42: required from here 682 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 7; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 7; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:682:42: required from here 682 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 8; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 8; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:686:42: required from here 686 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 9; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 9; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:690:42: required from here 690 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 20; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 10; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 10; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:694:42: required from here 694 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/FileBrowserDialogImpl.cpp:50, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:53: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:52: warning: ‘%s’ directive writing up to 1013 bytes into a region of size between 10 and 1023 [-Wformat-overflow=] 314 | sprintf(recent_file, "%s" PATHSEP "%s" PATHSEP "recent", xdg, appname); | ^~ In file included from /usr/include/stdio.h:970, from /usr/include/c++/15/cstdio:47, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/../DistrhoUtils.hpp:23, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/String.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoDetails.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:17: In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 9 and 2035 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:55: warning: ‘%s’ directive writing up to 1001 bytes into a region of size between 9 and 1010 [-Wformat-overflow=] 333 | sprintf(recent_file, "%s/.local/share/%s/recent", home, appname); | ^~ In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 22 and 2024 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 10; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 10; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:694:42: required from here 694 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 11; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 11; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:698:42: required from here 698 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 12; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 12; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:702:42: required from here 702 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 24; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 13; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 13; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:706:42: required from here 706 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 13; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 13; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:706:42: required from here 706 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 14; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 14; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:710:42: required from here 710 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 15; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 15; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:714:42: required from here 714 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 32; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 16; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 16; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:718:42: required from here 718 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 16; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 16; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:718:42: required from here 718 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 17; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 17; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:722:42: required from here 722 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 18; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 18; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:726:42: required from here 726 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 40; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 19; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 19; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:730:42: required from here 730 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 19; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 19; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:730:42: required from here 730 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 20; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 20; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:734:42: required from here 734 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 21; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 21; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:738:42: required from here 738 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 64; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 22; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 22; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:742:42: required from here 742 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 22; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 22; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:742:42: required from here 742 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 23; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 23; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:746:42: required from here 746 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 24; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 24; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:750:42: required from here 750 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h: In instantiation of ‘RTNeural::DenseT::DenseT() [with T = float; int in_sizet = 80; int out_sizet = 1]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:561:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ 561 | : _Base() { } | ^ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 25; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 25; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:754:42: required from here 754 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] 125 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 1; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 25; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 25; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:754:42: required from here 754 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 2; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 26; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 26; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:758:42: required from here 758 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp: In instantiation of ‘RTNeural::GRULayerT::GRULayerT() [with T = float; int in_sizet = 3; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::GRULayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 27; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 27; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:762:42: required from here 762 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] 172 | : outs(outs_internal) | ^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm.h:6, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/Model.h:19: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 28; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 28; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:766:42: required from here 766 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 29; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 29; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:770:42: required from here 770 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 8; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 30; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 30; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:774:42: required from here 774 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 31; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 31; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:778:43: required from here 778 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 32; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 32; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:782:43: required from here 782 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 12; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 33; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 33; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:786:43: required from here 786 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 34; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 34; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:790:43: required from here 790 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 35; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 35; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:794:43: required from here 794 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 16; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 36; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 36; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:798:43: required from here 798 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 37; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 37; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:802:43: required from here 802 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 38; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 38; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:806:43: required from here 806 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 20; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 39; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 39; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:810:43: required from here 810 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 40; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 40; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:814:43: required from here 814 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 41; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 41; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:818:43: required from here 818 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 24; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 42; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 42; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:822:43: required from here 822 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 43; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 43; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:826:43: required from here 826 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 44; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 44; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:830:43: required from here 830 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 32; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 45; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 45; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:834:43: required from here 834 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 46; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 46; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:838:43: required from here 838 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 47; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 47; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:842:43: required from here 842 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 40; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 48; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 48; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:846:43: required from here 846 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 49; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 49; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:850:43: required from here 850 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 50; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 50; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:854:43: required from here 854 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 64; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 51; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 51; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:858:43: required from here 858 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 1; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 52; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 52; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:862:43: required from here 862 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 2; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 2; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 53; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 53; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:866:43: required from here 866 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp: In instantiation of ‘RTNeural::LSTMLayerT::LSTMLayerT() [with T = float; int in_sizet = 3; int out_sizet = 80; RTNeural::SampleRateCorrectionMode sampleRateCorr = RTNeural::SampleRateCorrectionMode::None]’: /usr/include/c++/15/tuple:203:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ 203 | : _M_head_impl() { } | ^~~~~~~~~~~~~~ /usr/include/c++/15/tuple:303:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ 303 | : _Inherited(), _Base() { } | ^ /usr/include/c++/15/tuple:2090:15: required 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]’ 2090 | : _Inherited() { } | ^ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/ModelT.h:345:5: required from ‘RTNeural::ModelT::ModelT() [with T = float; int in_size = 3; int out_size = 1; Layers = {RTNeural::LSTMLayerT, RTNeural::DenseT}]’ 345 | { | ^ /usr/include/c++/15/variant:260:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ 260 | ::new ((void*)std::addressof(_M_storage)) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | _Type(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/bits/stl_construct.h:133:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ 133 | ::new(static_cast(__p)) _Tp(std::forward<_Args>(__args)...); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:562:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 54; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ 562 | std::_Construct(__addr, in_place_index<0>, | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 563 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1626:33: required from ‘std::enable_if_t<((bool)is_constructible_v::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 54; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>), __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ 1626 | __variant::__emplace<_Np>(*this, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/15/variant:1578:33: required from ‘std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<((bool)(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>)), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ 1578 | return this->emplace<__index>(std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/model_variant.hpp:870:43: required from here 870 | model.emplace(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] 106 | : outs(outs_internal) | ^~~~~~~~~~~~~ /usr/bin/g++ -fPIC -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -Xlinker --version-script=/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/utils/symbols/lv2-ui.version -Wl,--dependency-file=CMakeFiles/AIDA-X-lv2-ui.dir/link.d -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -shared -o bin/AIDA-X.lv2/AIDA-X_ui.so "CMakeFiles/AIDA-X-lv2-ui.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o" libAIDA-X-ui.a libAIDA-X.a modules/rtneural/RTNeural/libRTNeural.a libdgl-opengl.a -ldbus-1 /usr/lib64/libX11.so /usr/lib64/libGL.so -ldl gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 78%] Built target AIDA-X-lv2-ui [ 79%] Linking CXX static library libAIDA-X-Standalone-dsp.a /usr/bin/cmake -P CMakeFiles/AIDA-X-Standalone-dsp.dir/cmake_clean_target.cmake /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-Standalone-dsp.dir/link.txt --verbose=1 /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 gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 80%] Built target AIDA-X-Standalone-dsp /usr/bin/gmake -f CMakeFiles/AIDA-X-Standalone-jack.dir/build.make CMakeFiles/AIDA-X-Standalone-jack.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-Standalone-jack.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/AIDA-X-Standalone-jack.dir/build.make CMakeFiles/AIDA-X-Standalone-jack.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 82%] Building CXX object CMakeFiles/AIDA-X-Standalone-jack.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o [ 83%] Building CXX object CMakeFiles/AIDA-X-Standalone-jack.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_JACK -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_GETTIMEOFDAY -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/usr/include/SDL2 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIE -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-jack.dir/modules/dpf/distrho/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 /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_JACK -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_GETTIMEOFDAY -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/usr/include/SDL2 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/standalone -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIE -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-jack.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -MF CMakeFiles/AIDA-X-Standalone-jack.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-jack.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:65, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp:17: /usr/include/c++/15/cstdbool:48:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 48 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../../dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../../dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUIPrivateData.hpp:31, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUIInternal.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoPluginJACK.cpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoPluginMain.cpp:24: /usr/include/c++/15/cstdbool:48:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 48 | # 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:970, from /usr/include/c++/15/cstdio:47, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/../DistrhoUtils.hpp:23, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/String.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoDetails.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:17: In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 9 and 2035 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:55: warning: ‘%s’ directive writing up to 1001 bytes into a region of size between 9 and 1010 [-Wformat-overflow=] 333 | sprintf(recent_file, "%s/.local/share/%s/recent", home, appname); | ^~ In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 22 and 2024 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ [ 84%] Linking CXX static library libAIDA-X-dsp.a /usr/bin/cmake -P CMakeFiles/AIDA-X-dsp.dir/cmake_clean_target.cmake /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-dsp.dir/link.txt --verbose=1 /usr/bin/ar qc libAIDA-X-dsp.a "CMakeFiles/AIDA-X-dsp.dir/Files.cpp.o" "CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/AudioFFT.cpp.o" "CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/FFTConvolver.cpp.o" "CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/TwoStageFFTConvolver.cpp.o" "CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/Utilities.cpp.o" "CMakeFiles/AIDA-X-dsp.dir/modules/r8brain/pffft.cpp.o" "CMakeFiles/AIDA-X-dsp.dir/modules/r8brain/r8bbase.cpp.o" "CMakeFiles/AIDA-X-dsp.dir/src/aidadsp-plugin.cpp.o" "CMakeFiles/AIDA-X-dsp.dir/src/Biquad.cpp.o" "CMakeFiles/AIDA-X-dsp.dir/src/3rd-party.cpp.o" /usr/bin/ranlib libAIDA-X-dsp.a gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 84%] Built target AIDA-X-dsp /usr/bin/gmake -f CMakeFiles/AIDA-X-clap.dir/build.make CMakeFiles/AIDA-X-clap.dir/depend /usr/bin/gmake -f CMakeFiles/AIDA-X-lv2.dir/build.make CMakeFiles/AIDA-X-lv2.dir/depend /usr/bin/gmake -f CMakeFiles/AIDA-X-vst2.dir/build.make CMakeFiles/AIDA-X-vst2.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-clap.dir/DependInfo.cmake "--color=" gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-lv2.dir/DependInfo.cmake "--color=" gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-vst2.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/AIDA-X-clap.dir/build.make CMakeFiles/AIDA-X-clap.dir/build gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/AIDA-X-lv2.dir/build.make CMakeFiles/AIDA-X-lv2.dir/build gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/AIDA-X-vst2.dir/build.make CMakeFiles/AIDA-X-vst2.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 85%] Building CXX object CMakeFiles/AIDA-X-clap.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o /usr/bin/g++ -DAIDA_X_clap_EXPORTS -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_CLAP -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-clap.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o -MF CMakeFiles/AIDA-X-clap.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o.d -o CMakeFiles/AIDA-X-clap.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoPluginMain.cpp [ 88%] Building CXX object CMakeFiles/AIDA-X-vst2.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o [ 88%] Building CXX object CMakeFiles/AIDA-X-lv2.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o /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 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-lv2.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 /usr/bin/g++ -DAIDA_X_vst2_EXPORTS -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_VST2 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-vst2.dir/modules/dpf/distrho/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/DistrhoPluginCLAP.cpp:38, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoPluginMain.cpp:22: /usr/include/c++/15/cstdbool:48:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 48 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../../dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../../dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUIPrivateData.hpp:31, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUIInternal.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoPluginVST2.cpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoPluginMain.cpp:31: /usr/include/c++/15/cstdbool:48:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 48 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ [ 89%] Building CXX object CMakeFiles/AIDA-X-vst2.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o /usr/bin/g++ -DAIDA_X_vst2_EXPORTS -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_VST2 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-vst2.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -MF CMakeFiles/AIDA-X-vst2.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o.d -o CMakeFiles/AIDA-X-vst2.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:65, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp:17: /usr/include/c++/15/cstdbool:48:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 48 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ [ 91%] Building CXX object CMakeFiles/AIDA-X-clap.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o /usr/bin/g++ -DAIDA_X_clap_EXPORTS -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_CLAP -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-clap.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -MF CMakeFiles/AIDA-X-clap.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o.d -o CMakeFiles/AIDA-X-clap.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:65, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp:17: /usr/include/c++/15/cstdbool:48:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 48 | # warning " is deprecated in C++17, remove the #include" | ^~~~~~~ [ 92%] Linking CXX shared module bin/AIDA-X.lv2/AIDA-X_dsp.so /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-lv2.dir/link.txt --verbose=1 [ 93%] Linking CXX executable bin/AIDA-X /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-Standalone-jack.dir/link.txt --verbose=1 In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/FileBrowserDialogImpl.cpp:50, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:53: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:52: warning: ‘%s’ directive writing up to 1013 bytes into a region of size between 10 and 1023 [-Wformat-overflow=] 314 | sprintf(recent_file, "%s" PATHSEP "%s" PATHSEP "recent", xdg, appname); | ^~ In file included from /usr/include/stdio.h:970, from /usr/include/c++/15/cstdio:47, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/../DistrhoUtils.hpp:23, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/String.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoDetails.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:17: In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 9 and 2035 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:55: warning: ‘%s’ directive writing up to 1001 bytes into a region of size between 9 and 1010 [-Wformat-overflow=] 333 | sprintf(recent_file, "%s/.local/share/%s/recent", home, appname); | ^~ In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 22 and 2024 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/FileBrowserDialogImpl.cpp:50, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:53: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:52: warning: ‘%s’ directive writing up to 1013 bytes into a region of size between 10 and 1023 [-Wformat-overflow=] 314 | sprintf(recent_file, "%s" PATHSEP "%s" PATHSEP "recent", xdg, appname); | ^~ In file included from /usr/include/stdio.h:970, from /usr/include/c++/15/cstdio:47, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/../DistrhoUtils.hpp:23, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/String.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoDetails.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:17: In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 9 and 2035 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:55: warning: ‘%s’ directive writing up to 1001 bytes into a region of size between 9 and 1010 [-Wformat-overflow=] 333 | sprintf(recent_file, "%s/.local/share/%s/recent", home, appname); | ^~ In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 22 and 2024 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ [ 94%] Linking CXX shared module bin/AIDA-X-vst2.so /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-vst2.dir/link.txt --verbose=1 [ 96%] Linking CXX shared module bin/AIDA-X.clap /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-clap.dir/link.txt --verbose=1 /usr/bin/g++ -fPIC -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -Xlinker --version-script=/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/utils/symbols/lv2-dsp.version -Wl,--dependency-file=CMakeFiles/AIDA-X-lv2.dir/link.d -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -shared -o bin/AIDA-X.lv2/AIDA-X_dsp.so "CMakeFiles/AIDA-X-lv2.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o" libAIDA-X-dsp.a libAIDA-X.a -ldl -ldbus-1 /usr/lib64/libX11.so modules/rtneural/RTNeural/libRTNeural.a cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/bin/AIDA-X.lv2 && /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/lv2_ttl_generator /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/bin/AIDA-X.lv2/AIDA-X_dsp.so Generate ttl data for '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/bin/AIDA-X.lv2/AIDA-X_dsp', basename: 'AIDA-X_dsp' Loading cabinet with 1 channels, 48000 Hz sample rate and 8192 frames Resampling to 44100.000000 Hz sample rate and 7528 frames Thread setup with realtime priority successful Thread with realtime priority failed on creation, going with normal priority instead # dimensions: 1 Layer: lstm Dims: 12 Layer: dense Dims: 1 Writing manifest.ttl... done! Writing AIDA-X_dsp.ttl... done! Writing AIDA-X_ui.ttl... done! gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 96%] Built target AIDA-X-lv2 /usr/bin/gmake -f CMakeFiles/AIDA-X-vst3.dir/build.make CMakeFiles/AIDA-X-vst3.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-vst3.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/AIDA-X-vst3.dir/build.make CMakeFiles/AIDA-X-vst3.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [ 97%] Building CXX object CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o /usr/bin/g++ -DAIDA_X_vst3_EXPORTS -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_VST3 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o -MF CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o.d -o CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoPluginMain.cpp [ 98%] Building CXX object CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o /usr/bin/g++ -DAIDA_X_vst3_EXPORTS -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DDISTRHO_PLUGIN_TARGET_VST3 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/src/plugin -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/r8brain -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build -I/usr/lib64/pkgconfig/../../include/dbus-1.0 -I/usr/lib64/pkgconfig/../../lib64/dbus-1.0/include -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -MF CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o.d -o CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -c /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp In file included from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/pugl.hpp:25, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/dgl/src/WindowPrivateData.hpp:24, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:65, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp:17: /usr/include/c++/15/cstdbool:48:6: warning: #warning " is deprecated in C++17, remove the #include" [-Wcpp] 48 | # 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:970, from /usr/include/c++/15/cstdio:47, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/../DistrhoUtils.hpp:23, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/extra/String.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/DistrhoDetails.hpp:20, from /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/DistrhoUI.cpp:17: In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:314:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 9 and 2035 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c: In function ‘plugin_x_fib_recent_file’: /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:55: warning: ‘%s’ directive writing up to 1001 bytes into a region of size between 9 and 1010 [-Wformat-overflow=] 333 | sprintf(recent_file, "%s/.local/share/%s/recent", home, appname); | ^~ In function ‘sprintf’, inlined from ‘plugin_x_fib_recent_file’ at /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/distrho/src/../extra/sofd/libsofd.c:333:10: /usr/include/bits/stdio2.h:30:34: note: ‘__sprintf_chk’ output between 22 and 2024 bytes into a destination of size 1024 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ [100%] Linking CXX shared module bin/AIDA-X.vst3/Contents/x86_64-linux/AIDA-X.so /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-vst3.dir/link.txt --verbose=1 /usr/bin/g++ -fPIC -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -Xlinker --version-script=/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/utils/symbols/vst2.version -Wl,--dependency-file=CMakeFiles/AIDA-X-vst2.dir/link.d -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -shared -o bin/AIDA-X-vst2.so "CMakeFiles/AIDA-X-vst2.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o" "CMakeFiles/AIDA-X-vst2.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o" libAIDA-X-dsp.a libAIDA-X-ui.a libAIDA-X.a modules/rtneural/RTNeural/libRTNeural.a libdgl-opengl.a -ldbus-1 /usr/lib64/libX11.so /usr/lib64/libGL.so -ldl gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [100%] Built target AIDA-X-vst2 /usr/bin/g++ -fPIC -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -Xlinker --version-script=/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/utils/symbols/clap.version -Wl,--dependency-file=CMakeFiles/AIDA-X-clap.dir/link.d -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -shared -o bin/AIDA-X.clap "CMakeFiles/AIDA-X-clap.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o" "CMakeFiles/AIDA-X-clap.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o" libAIDA-X-dsp.a libAIDA-X-ui.a libAIDA-X.a modules/rtneural/RTNeural/libRTNeural.a libdgl-opengl.a -ldbus-1 /usr/lib64/libX11.so /usr/lib64/libGL.so -ldl gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [100%] Built target AIDA-X-clap /usr/bin/g++ -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -Wl,--dependency-file=CMakeFiles/AIDA-X-Standalone-jack.dir/link.d "CMakeFiles/AIDA-X-Standalone-jack.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o" "CMakeFiles/AIDA-X-Standalone-jack.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o" -o bin/AIDA-X libAIDA-X-Standalone-dsp.a libAIDA-X-Standalone-ui.a -lSDL2 -ldl -lasound -lpulse-simple -lpulse libAIDA-X-Standalone.a modules/rtneural/RTNeural/libRTNeural.a libdgl-opengl.a -ldbus-1 /usr/lib64/libX11.so /usr/lib64/libGL.so -ldl gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [100%] Built target AIDA-X-Standalone-jack /usr/bin/g++ -fPIC -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -Xlinker --version-script=/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/modules/dpf/utils/symbols/vst3.version -Wl,--dependency-file=CMakeFiles/AIDA-X-vst3.dir/link.d -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -shared -o bin/AIDA-X.vst3/Contents/x86_64-linux/AIDA-X.so "CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o" "CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o" libAIDA-X-dsp.a libAIDA-X-ui.a libAIDA-X.a modules/rtneural/RTNeural/libRTNeural.a libdgl-opengl.a -ldbus-1 /usr/lib64/libX11.so /usr/lib64/libGL.so -ldl gmake[2]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' [100%] Built target AIDA-X-vst3 gmake[1]: Leaving directory '/builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build' /usr/bin/cmake -E cmake_progress_start /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X/redhat-linux-build/CMakeFiles 0 + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.Bmp2H4 + umask 022 + cd /builddir/build/BUILD/aida-x-1.1.0-build + '[' /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT '!=' / ']' + rm -rf /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT ++ dirname /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT + mkdir -p /builddir/build/BUILD/aida-x-1.1.0-build + mkdir /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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.fc42 --unique-debug-suffix -1.1.0-1.fc42.x86_64 --unique-debug-src-base aida-x-1.1.0-1.fc42.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/aida-x-1.1.0-build/AIDA-X find-debuginfo: starting Extracting debug info from 6 files DWARF-compressing 6 files sepdebugcrcfix: Updated 6 CRC32s, 0 CRC32s did match. Creating .debug symlinks for symlinks to ELF files Copying sources found by 'debugedit -l' to /usr/src/debug/aida-x-1.1.0-1.fc42.x86_64 find-debuginfo: done + /usr/lib/rpm/check-buildroot + /usr/lib/rpm/redhat/brp-ldconfig + /usr/lib/rpm/brp-compress + /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip + /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip + /usr/lib/rpm/check-rpaths + /usr/lib/rpm/redhat/brp-mangle-shebangs *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/FFTConvolver/AudioFFT.cpp is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/FFTConvolver/AudioFFT.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/FFTConvolver/FFTConvolver.cpp is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/FFTConvolver/FFTConvolver.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/FFTConvolver/TwoStageFFTConvolver.cpp is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/FFTConvolver/TwoStageFFTConvolver.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/Core is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Cholesky/LDLT.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Cholesky/LLT.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Array.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/ArrayBase.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/ArrayWrapper.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Assign.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/AssignEvaluator.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Block.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/BooleanRedux.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/CommaInitializer.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/CoreEvaluators.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/CwiseBinaryOp.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/CwiseNullaryOp.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/CwiseUnaryOp.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/DenseBase.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/DenseCoeffsBase.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/DenseStorage.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Diagonal.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/DiagonalMatrix.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Dot.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/EigenBase.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Fuzzy.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/GeneralProduct.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/GenericPacketMath.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/IO.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Map.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/MapBase.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/MathFunctions.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/MathFunctionsImpl.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Matrix.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/MatrixBase.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/NestByValue.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/NoAlias.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/NumTraits.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/PermutationMatrix.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/PlainObjectBase.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Product.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/ProductEvaluators.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Random.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Redux.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Reverse.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/SelfCwiseBinaryOp.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/StableNorm.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Stride.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/Transpose.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/TriangularMatrix.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/VectorwiseOp.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/arch/Default/ConjHelper.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/arch/SSE/Complex.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/arch/SSE/MathFunctions.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/arch/SSE/PacketMath.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/arch/SSE/TypeCasting.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/functors/AssignmentFunctors.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/functors/BinaryFunctors.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/functors/NullaryFunctors.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/functors/UnaryFunctors.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/products/GeneralBlockPanelKernel.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/products/GeneralMatrixVector.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/util/BlasUtil.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/util/Constants.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/util/ForwardDeclarations.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/util/Macros.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/util/Memory.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/util/Meta.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Core/util/XprHelper.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Eigenvalues/MatrixBaseEigenvalues.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Geometry/EulerAngles.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Geometry/Homogeneous.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Geometry/OrthoMethods.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/Householder/Householder.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/LU/Determinant.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/LU/FullPivLU.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/LU/InverseImpl.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/LU/PartialPivLU.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/QR/ColPivHouseholderQR.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/QR/CompleteOrthogonalDecomposition.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/QR/FullPivHouseholderQR.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/QR/HouseholderQR.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/SVD/BDCSVD.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/SVD/JacobiSVD.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/plugins/ArrayCwiseBinaryOps.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/plugins/ArrayCwiseUnaryOps.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/plugins/BlockMethods.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/plugins/CommonCwiseBinaryOps.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/plugins/CommonCwiseUnaryOps.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/plugins/MatrixCwiseBinaryOps.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc42.x86_64/modules/rtneural/modules/Eigen/Eigen/src/plugins/MatrixCwiseUnaryOps.h is executable but has no shebang, removing executable bit + /usr/lib/rpm/brp-remove-la-files + env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j4 + /usr/lib/rpm/redhat/brp-python-hardlink + /usr/bin/add-determinism --brp -j4 /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT Scanned 83 directories and 310 files, processed 0 inodes, 0 modified (0 replaced + 0 rewritten), 0 unsupported format, 0 errors Reading /builddir/build/BUILD/aida-x-1.1.0-build/SPECPARTS/rpm-debuginfo.specpart Processing files: aida-x-1.1.0-1.fc42.x86_64 Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.LYWNHU + 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.8xQsBV + 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.fc42 aida-x(x86-64) = 1.1.0-1.fc42 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: libGL.so.1()(64bit) libSDL2-2.0.so.0()(64bit) libX11.so.6()(64bit) libasound.so.2()(64bit) libasound.so.2(ALSA_0.9)(64bit) libasound.so.2(ALSA_0.9.0rc4)(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.15)(64bit) libc.so.6(GLIBC_2.17)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3.2)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.33)(64bit) libc.so.6(GLIBC_2.34)(64bit) libc.so.6(GLIBC_2.38)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libdbus-1.so.3()(64bit) libdbus-1.so.3(LIBDBUS_1_3)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.27)(64bit) libm.so.6(GLIBC_2.29)(64bit) libm.so.6(GLIBC_2.38)(64bit) libpulse-simple.so.0()(64bit) libpulse-simple.so.0(PULSE_0)(64bit) libpulse.so.0()(64bit) libpulse.so.0(PULSE_0)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.15)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: vst3-aida-x-1.1.0-1.fc42.x86_64 Provides: vst3-aida-x = 1.1.0-1.fc42 vst3-aida-x(x86-64) = 1.1.0-1.fc42 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: libGL.so.1()(64bit) libX11.so.6()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.15)(64bit) libc.so.6(GLIBC_2.17)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3)(64bit) libc.so.6(GLIBC_2.3.2)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.33)(64bit) libc.so.6(GLIBC_2.34)(64bit) libc.so.6(GLIBC_2.38)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libdbus-1.so.3()(64bit) libdbus-1.so.3(LIBDBUS_1_3)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.27)(64bit) libm.so.6(GLIBC_2.29)(64bit) libm.so.6(GLIBC_2.38)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.15)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: vst-aida-x-1.1.0-1.fc42.x86_64 Provides: vst-aida-x = 1.1.0-1.fc42 vst-aida-x(x86-64) = 1.1.0-1.fc42 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: libGL.so.1()(64bit) libX11.so.6()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.15)(64bit) libc.so.6(GLIBC_2.17)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3)(64bit) libc.so.6(GLIBC_2.3.2)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.33)(64bit) libc.so.6(GLIBC_2.34)(64bit) libc.so.6(GLIBC_2.38)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libdbus-1.so.3()(64bit) libdbus-1.so.3(LIBDBUS_1_3)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.27)(64bit) libm.so.6(GLIBC_2.29)(64bit) libm.so.6(GLIBC_2.38)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.15)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: lv2-aida-x-1.1.0-1.fc42.x86_64 Provides: lv2-aida-x = 1.1.0-1.fc42 lv2-aida-x(x86-64) = 1.1.0-1.fc42 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: libGL.so.1()(64bit) libX11.so.6()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.15)(64bit) libc.so.6(GLIBC_2.17)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3)(64bit) libc.so.6(GLIBC_2.3.2)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.33)(64bit) libc.so.6(GLIBC_2.34)(64bit) libc.so.6(GLIBC_2.38)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libdbus-1.so.3()(64bit) libdbus-1.so.3(LIBDBUS_1_3)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.27)(64bit) libm.so.6(GLIBC_2.29)(64bit) libm.so.6(GLIBC_2.38)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.15)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: clap-aida-x-1.1.0-1.fc42.x86_64 Provides: clap-aida-x = 1.1.0-1.fc42 clap-aida-x(x86-64) = 1.1.0-1.fc42 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: libGL.so.1()(64bit) libX11.so.6()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.15)(64bit) libc.so.6(GLIBC_2.17)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3)(64bit) libc.so.6(GLIBC_2.3.2)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.33)(64bit) libc.so.6(GLIBC_2.34)(64bit) libc.so.6(GLIBC_2.38)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libdbus-1.so.3()(64bit) libdbus-1.so.3(LIBDBUS_1_3)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.27)(64bit) libm.so.6(GLIBC_2.29)(64bit) libm.so.6(GLIBC_2.38)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.15)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: aida-x-debugsource-1.1.0-1.fc42.x86_64 Provides: aida-x-debugsource = 1.1.0-1.fc42 aida-x-debugsource(x86-64) = 1.1.0-1.fc42 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.fc42.x86_64 Provides: aida-x-debuginfo = 1.1.0-1.fc42 aida-x-debuginfo(x86-64) = 1.1.0-1.fc42 debuginfo(build-id) = cac4c2cb0fc129ccc39eb3949cea58178e2eaf5e Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: aida-x-debugsource(x86-64) = 1.1.0-1.fc42 Processing files: vst3-aida-x-debuginfo-1.1.0-1.fc42.x86_64 Provides: debuginfo(build-id) = 7a8cf75bd82d16d1c3954dcf0491ade228f77f94 vst3-aida-x-debuginfo = 1.1.0-1.fc42 vst3-aida-x-debuginfo(x86-64) = 1.1.0-1.fc42 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: aida-x-debugsource(x86-64) = 1.1.0-1.fc42 Processing files: vst-aida-x-debuginfo-1.1.0-1.fc42.x86_64 Provides: debuginfo(build-id) = 92c7ed6e9b669c537c3582b64799fe62e0ee4e52 vst-aida-x-debuginfo = 1.1.0-1.fc42 vst-aida-x-debuginfo(x86-64) = 1.1.0-1.fc42 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: aida-x-debugsource(x86-64) = 1.1.0-1.fc42 Processing files: lv2-aida-x-debuginfo-1.1.0-1.fc42.x86_64 Provides: debuginfo(build-id) = 871020dbfbe49bd05bfc456a11e2066ac376082b debuginfo(build-id) = a481e5623ed556d1d788bfb96d158c667da86781 lv2-aida-x-debuginfo = 1.1.0-1.fc42 lv2-aida-x-debuginfo(x86-64) = 1.1.0-1.fc42 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: aida-x-debugsource(x86-64) = 1.1.0-1.fc42 Processing files: clap-aida-x-debuginfo-1.1.0-1.fc42.x86_64 Provides: clap-aida-x-debuginfo = 1.1.0-1.fc42 clap-aida-x-debuginfo(x86-64) = 1.1.0-1.fc42 debuginfo(build-id) = a0644ccbeb86fd8858859550a9db3bf88f78d136 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: aida-x-debugsource(x86-64) = 1.1.0-1.fc42 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILD/aida-x-1.1.0-build/BUILDROOT Wrote: /builddir/build/RPMS/clap-aida-x-debuginfo-1.1.0-1.fc42.x86_64.rpm Wrote: /builddir/build/RPMS/vst-aida-x-debuginfo-1.1.0-1.fc42.x86_64.rpm Wrote: /builddir/build/RPMS/vst3-aida-x-debuginfo-1.1.0-1.fc42.x86_64.rpm Wrote: /builddir/build/RPMS/aida-x-1.1.0-1.fc42.x86_64.rpm Wrote: /builddir/build/RPMS/vst3-aida-x-1.1.0-1.fc42.x86_64.rpm Wrote: /builddir/build/RPMS/lv2-aida-x-1.1.0-1.fc42.x86_64.rpm Wrote: /builddir/build/RPMS/clap-aida-x-1.1.0-1.fc42.x86_64.rpm Wrote: /builddir/build/RPMS/vst-aida-x-1.1.0-1.fc42.x86_64.rpm Wrote: /builddir/build/RPMS/aida-x-debugsource-1.1.0-1.fc42.x86_64.rpm Wrote: /builddir/build/RPMS/lv2-aida-x-debuginfo-1.1.0-1.fc42.x86_64.rpm Wrote: /builddir/build/RPMS/aida-x-debuginfo-1.1.0-1.fc42.x86_64.rpm Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.E8hN2P + 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.fc42.src.rpm Finish: build phase for aida-x-1.1.0-1.fc42.src.rpm INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-42-x86_64-1742439237.869663/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.fc42.src.rpm) Config(child) 4 minutes 19 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot Finish: run Running RPMResults tool Package info: { "packages": [ { "name": "aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc42", "arch": "x86_64" }, { "name": "aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc42", "arch": "src" }, { "name": "vst3-aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc42", "arch": "x86_64" }, { "name": "lv2-aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc42", "arch": "x86_64" }, { "name": "vst-aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc42", "arch": "x86_64" }, { "name": "clap-aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc42", "arch": "x86_64" }, { "name": "clap-aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc42", "arch": "x86_64" }, { "name": "vst3-aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc42", "arch": "x86_64" }, { "name": "aida-x-debugsource", "epoch": null, "version": "1.1.0", "release": "1.fc42", "arch": "x86_64" }, { "name": "aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc42", "arch": "x86_64" }, { "name": "vst-aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc42", "arch": "x86_64" }, { "name": "lv2-aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc42", "arch": "x86_64" } ] } RPMResults finished