Warning: Permanently added '2620:52:3:1:dead:beef:cafe:c1cc' (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/6980075-fedora-39-x86_64 --chroot fedora-39-x86_64 Version: 0.70 PID: 6149 Logging PID: 6150 Task: {'appstream': False, 'background': False, 'build_id': 6980075, 'buildroot_pkgs': [], 'chroot': 'fedora-39-x86_64', 'enable_net': True, 'fedora_review': False, 'git_hash': 'df887290d9cd4f5f4bd1dd3665f2d6767c83014a', '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-39-x86_64/', 'id': 'copr_base', 'name': 'Copr repository', 'priority': None}, {'baseurl': 'https://download1.rpmfusion.org/free/fedora/releases/$releasever/Everything/$basearch/os/', 'id': 'https_download1_rpmfusion_org_free_fedora_releases_releasever_Everything_basearch_os', 'name': 'Additional repo ' 'https_download1_rpmfusion_org_free_fedora_releases_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, 'submitter': 'ycollet', 'tags': [], 'task_id': '6980075-fedora-39-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-l6xux_dx/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-l6xux_dx/aida-x', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-l6xux_dx/aida-x'... Running: git checkout df887290d9cd4f5f4bd1dd3665f2d6767c83014a -- cmd: ['git', 'checkout', 'df887290d9cd4f5f4bd1dd3665f2d6767c83014a', '--'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-l6xux_dx/aida-x rc: 0 stdout: stderr: Note: switching to 'df887290d9cd4f5f4bd1dd3665f2d6767c83014a'. 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 df88729 automatic import of aida-x Running: copr-distgit-client sources /usr/bin/tail: /var/lib/copr-rpmbuild/main.log: file truncated cmd: ['copr-distgit-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-l6xux_dx/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 34.4M 0 --:--:-- --:--:-- --:--:-- 34.4M INFO: Reading stdout from command: md5sum AIDA-X.tar.gz Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-l6xux_dx/aida-x/aidax.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-l6xux_dx/aida-x --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1706806975.123712 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 5.4 starting (python version = 3.11.3, NVR = mock-5.4-1.fc38), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-l6xux_dx/aida-x/aidax.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-l6xux_dx/aida-x --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1706806975.123712 -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-l6xux_dx/aida-x/aidax.spec) Config(fedora-39-x86_64) Start: clean chroot Finish: clean chroot Mock Version: 5.4 INFO: Mock Version: 5.4 Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-39-x86_64-bootstrap-1706806975.123712/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start(bootstrap): cleaning package manager metadata Finish(bootstrap): cleaning package manager metadata INFO: Guessed host environment type: unknown INFO: Using bootstrap image: registry.fedoraproject.org/fedora:39 INFO: Pulling image: registry.fedoraproject.org/fedora:39 INFO: Copy content of container registry.fedoraproject.org/fedora:39 to /var/lib/mock/fedora-39-x86_64-bootstrap-1706806975.123712/root INFO: Checking that registry.fedoraproject.org/fedora:39 image matches host's architecture INFO: mounting registry.fedoraproject.org/fedora:39 with podman image mount INFO: image registry.fedoraproject.org/fedora:39 as /var/lib/containers/storage/overlay/8ff7ad910417a7b8a49019008335921d2aac0e3304a19ce258deabf431e59801/merged INFO: umounting image registry.fedoraproject.org/fedora:39 (/var/lib/containers/storage/overlay/8ff7ad910417a7b8a49019008335921d2aac0e3304a19ce258deabf431e59801/merged) with podman image umount INFO: Package manager dnf detected and used (fallback) INFO: Bootstrap image not marked ready Start(bootstrap): installing dnf tooling No matches found for the following disable plugin patterns: local, spacewalk, versionlock Copr repository 21 MB/s | 8.2 MB 00:00 Additional repo https_download1_rpmfusion_org_f 608 kB/s | 639 kB 00:01 Additional repo https_codecs_fedoraproject_org_ 34 kB/s | 2.5 kB 00:00 fedora 21 MB/s | 89 MB 00:04 updates 15 MB/s | 30 MB 00:01 Package python3-dnf-4.18.1-2.fc39.noarch is already installed. Dependencies resolved. ================================================================================ Package Arch Version Repository Size ================================================================================ Installing: python3-dnf-plugins-core noarch 4.4.4-1.fc39 updates 317 k Upgrading: dnf noarch 4.18.2-1.fc39 updates 508 k dnf-data noarch 4.18.2-1.fc39 updates 40 k python3-dnf noarch 4.18.2-1.fc39 updates 590 k yum noarch 4.18.2-1.fc39 updates 37 k Installing dependencies: dbus-libs x86_64 1:1.14.10-1.fc39 fedora 156 k python3-dateutil noarch 1:2.8.2-10.fc39 fedora 355 k python3-dbus x86_64 1.3.2-4.fc39 fedora 157 k python3-distro noarch 1.8.0-6.fc39 fedora 49 k python3-six noarch 1.16.0-12.fc39 fedora 41 k python3-systemd x86_64 235-5.fc39 fedora 107 k Transaction Summary ================================================================================ Install 7 Packages Upgrade 4 Packages Total download size: 2.3 M Downloading Packages: (1/11): python3-dbus-1.3.2-4.fc39.x86_64.rpm 822 kB/s | 157 kB 00:00 (2/11): dbus-libs-1.14.10-1.fc39.x86_64.rpm 800 kB/s | 156 kB 00:00 (3/11): python3-dateutil-2.8.2-10.fc39.noarch.r 1.7 MB/s | 355 kB 00:00 (4/11): python3-distro-1.8.0-6.fc39.noarch.rpm 1.7 MB/s | 49 kB 00:00 (5/11): python3-six-1.16.0-12.fc39.noarch.rpm 1.4 MB/s | 41 kB 00:00 (6/11): python3-systemd-235-5.fc39.x86_64.rpm 3.7 MB/s | 107 kB 00:00 (7/11): dnf-data-4.18.2-1.fc39.noarch.rpm 254 kB/s | 40 kB 00:00 (8/11): python3-dnf-plugins-core-4.4.4-1.fc39.n 1.2 MB/s | 317 kB 00:00 (9/11): yum-4.18.2-1.fc39.noarch.rpm 874 kB/s | 37 kB 00:00 (10/11): dnf-4.18.2-1.fc39.noarch.rpm 1.5 MB/s | 508 kB 00:00 (11/11): python3-dnf-4.18.2-1.fc39.noarch.rpm 3.2 MB/s | 590 kB 00:00 -------------------------------------------------------------------------------- Total 3.6 MB/s | 2.3 MB 00:00 Running transaction check Transaction check succeeded. Running transaction test Transaction test succeeded. Running transaction Preparing : 1/1 Upgrading : dnf-data-4.18.2-1.fc39.noarch 1/15 Upgrading : python3-dnf-4.18.2-1.fc39.noarch 2/15 Upgrading : dnf-4.18.2-1.fc39.noarch 3/15 Running scriptlet: dnf-4.18.2-1.fc39.noarch 3/15 Installing : python3-systemd-235-5.fc39.x86_64 4/15 Installing : python3-six-1.16.0-12.fc39.noarch 5/15 Installing : python3-dateutil-1:2.8.2-10.fc39.noarch 6/15 Installing : python3-distro-1.8.0-6.fc39.noarch 7/15 Installing : dbus-libs-1:1.14.10-1.fc39.x86_64 8/15 Installing : python3-dbus-1.3.2-4.fc39.x86_64 9/15 Installing : python3-dnf-plugins-core-4.4.4-1.fc39.noarch 10/15 Upgrading : yum-4.18.2-1.fc39.noarch 11/15 Cleanup : yum-4.18.1-2.fc39.noarch 12/15 Running scriptlet: dnf-4.18.1-2.fc39.noarch 13/15 Cleanup : dnf-4.18.1-2.fc39.noarch 13/15 Running scriptlet: dnf-4.18.1-2.fc39.noarch 13/15 Cleanup : python3-dnf-4.18.1-2.fc39.noarch 14/15 Cleanup : dnf-data-4.18.1-2.fc39.noarch 15/15 Running scriptlet: dnf-data-4.18.1-2.fc39.noarch 15/15 Verifying : dbus-libs-1:1.14.10-1.fc39.x86_64 1/15 Verifying : python3-dateutil-1:2.8.2-10.fc39.noarch 2/15 Verifying : python3-dbus-1.3.2-4.fc39.x86_64 3/15 Verifying : python3-distro-1.8.0-6.fc39.noarch 4/15 Verifying : python3-six-1.16.0-12.fc39.noarch 5/15 Verifying : python3-systemd-235-5.fc39.x86_64 6/15 Verifying : python3-dnf-plugins-core-4.4.4-1.fc39.noarch 7/15 Verifying : dnf-4.18.2-1.fc39.noarch 8/15 Verifying : dnf-4.18.1-2.fc39.noarch 9/15 Verifying : dnf-data-4.18.2-1.fc39.noarch 10/15 Verifying : dnf-data-4.18.1-2.fc39.noarch 11/15 Verifying : python3-dnf-4.18.2-1.fc39.noarch 12/15 Verifying : python3-dnf-4.18.1-2.fc39.noarch 13/15 Verifying : yum-4.18.2-1.fc39.noarch 14/15 Verifying : yum-4.18.1-2.fc39.noarch 15/15 Upgraded: dnf-4.18.2-1.fc39.noarch dnf-data-4.18.2-1.fc39.noarch python3-dnf-4.18.2-1.fc39.noarch yum-4.18.2-1.fc39.noarch Installed: dbus-libs-1:1.14.10-1.fc39.x86_64 python3-dateutil-1:2.8.2-10.fc39.noarch python3-dbus-1.3.2-4.fc39.x86_64 python3-distro-1.8.0-6.fc39.noarch python3-dnf-plugins-core-4.4.4-1.fc39.noarch python3-six-1.16.0-12.fc39.noarch python3-systemd-235-5.fc39.x86_64 Complete! Finish(bootstrap): installing dnf tooling 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-39-x86_64-1706806975.123712/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 dnf detected and used (direct choice) INFO: Buildroot is handled by package management downloaded with a bootstrap image: rpm-4.19.0-1.fc39.x86_64 rpm-sequoia-1.5.0-1.fc39.x86_64 python3-dnf-4.18.2-1.fc39.noarch python3-dnf-plugins-core-4.4.4-1.fc39.noarch yum-4.18.2-1.fc39.noarch Start: installing minimal buildroot with dnf No matches found for the following disable plugin patterns: local, spacewalk, versionlock Copr repository 46 MB/s | 8.2 MB 00:00 Additional repo https_download1_rpmfusion_org_f 675 kB/s | 639 kB 00:00 Additional repo https_codecs_fedoraproject_org_ 14 kB/s | 2.5 kB 00:00 fedora 25 MB/s | 89 MB 00:03 updates 24 MB/s | 30 MB 00:01 Dependencies resolved. ================================================================================ Package Arch Version Repo Size ================================================================================ Installing group/module packages: bash x86_64 5.2.26-1.fc39 updates 1.8 M bzip2 x86_64 1.0.8-16.fc39 fedora 52 k coreutils x86_64 9.3-5.fc39 updates 1.1 M cpio x86_64 2.14-4.fc39 fedora 279 k diffutils x86_64 3.10-3.fc39 fedora 398 k fedora-release-common noarch 39-34 updates 19 k findutils x86_64 1:4.9.0-5.fc39 fedora 492 k gawk x86_64 5.2.2-2.fc39 fedora 1.1 M glibc-minimal-langpack x86_64 2.38-16.fc39 updates 71 k grep x86_64 3.11-3.fc39 fedora 298 k gzip x86_64 1.12-6.fc39 fedora 166 k info x86_64 7.0.3-3.fc39 fedora 182 k patch x86_64 2.7.6-22.fc39 fedora 125 k redhat-rpm-config noarch 262-1.fc39 fedora 84 k rpm-build x86_64 4.19.1-1.fc39 updates 79 k sed x86_64 4.8-14.fc39 fedora 306 k shadow-utils x86_64 2:4.14.0-2.fc39 updates 1.3 M tar x86_64 2:1.35-2.fc39 fedora 864 k unzip x86_64 6.0-62.fc39 fedora 184 k util-linux x86_64 2.39.3-4.fc39 updates 1.2 M which x86_64 2.21-40.fc39 fedora 42 k xz x86_64 5.4.4-1.fc39 fedora 556 k Installing dependencies: alternatives x86_64 1.26-1.fc39 updates 39 k ansible-srpm-macros noarch 1-11.fc39 fedora 21 k audit-libs x86_64 3.1.2-8.fc39 updates 117 k authselect x86_64 1.4.3-1.fc39 fedora 149 k authselect-libs x86_64 1.4.3-1.fc39 fedora 249 k basesystem noarch 11-18.fc39 fedora 7.2 k binutils x86_64 2.40-14.fc39 updates 5.6 M binutils-gold x86_64 2.40-14.fc39 updates 795 k bzip2-libs x86_64 1.0.8-16.fc39 fedora 41 k ca-certificates noarch 2023.2.60_v7.0.306-2.fc39 fedora 837 k coreutils-common x86_64 9.3-5.fc39 updates 2.1 M cracklib x86_64 2.9.11-2.fc39 fedora 94 k crypto-policies noarch 20231204-1.git1e3a2e4.fc39 updates 100 k curl x86_64 8.2.1-4.fc39 updates 345 k cyrus-sasl-lib x86_64 2.1.28-11.fc39 fedora 793 k debugedit x86_64 5.0-12.fc39 updates 79 k dwz x86_64 0.15-3.fc39 fedora 134 k ed x86_64 1.19-4.fc39 fedora 79 k efi-srpm-macros noarch 5-9.fc39 fedora 22 k elfutils x86_64 0.190-4.fc39 updates 551 k elfutils-debuginfod-client x86_64 0.190-4.fc39 updates 38 k elfutils-default-yama-scope noarch 0.190-4.fc39 updates 13 k elfutils-libelf x86_64 0.190-4.fc39 updates 194 k elfutils-libs x86_64 0.190-4.fc39 updates 260 k fedora-gpg-keys noarch 39-1 fedora 130 k fedora-release noarch 39-34 updates 8.4 k fedora-release-identity-basic noarch 39-34 updates 9.2 k fedora-repos noarch 39-1 fedora 9.3 k file x86_64 5.44-5.fc39 fedora 49 k file-libs x86_64 5.44-5.fc39 fedora 729 k filesystem x86_64 3.18-6.fc39 fedora 1.1 M fonts-srpm-macros noarch 1:2.0.5-12.fc39 fedora 26 k fpc-srpm-macros noarch 1.3-8.fc39 fedora 7.4 k gdb-minimal x86_64 14.1-2.fc39 updates 4.3 M gdbm-libs x86_64 1:1.23-4.fc39 fedora 56 k ghc-srpm-macros noarch 1.6.1-2.fc39 fedora 7.8 k glibc x86_64 2.38-16.fc39 updates 2.2 M glibc-common x86_64 2.38-16.fc39 updates 353 k glibc-gconv-extra x86_64 2.38-16.fc39 updates 1.6 M gmp x86_64 1:6.2.1-5.fc39 fedora 313 k gnat-srpm-macros noarch 6-3.fc39 fedora 8.8 k go-srpm-macros noarch 3.3.1-1.fc39 updates 28 k jansson x86_64 2.13.1-7.fc39 fedora 44 k kernel-srpm-macros noarch 1.0-20.fc39 fedora 10 k keyutils-libs x86_64 1.6.1-7.fc39 fedora 31 k krb5-libs x86_64 1.21.2-3.fc39 updates 765 k libacl x86_64 2.3.1-9.fc39 updates 23 k libarchive x86_64 3.7.1-1.fc39 fedora 408 k libattr x86_64 2.5.1-8.fc39 fedora 18 k libblkid x86_64 2.39.3-4.fc39 updates 117 k libbrotli x86_64 1.1.0-1.fc39 fedora 336 k libcap x86_64 2.48-9.fc39 updates 68 k libcap-ng x86_64 0.8.3-8.fc39 fedora 32 k libcom_err x86_64 1.47.0-2.fc39 fedora 26 k libcurl x86_64 8.2.1-4.fc39 updates 323 k libdb x86_64 5.3.28-56.fc39 fedora 760 k libeconf x86_64 0.5.2-1.fc39 fedora 30 k libevent x86_64 2.1.12-9.fc39 fedora 258 k libfdisk x86_64 2.39.3-4.fc39 updates 162 k libffi x86_64 3.4.4-4.fc39 fedora 40 k libgcc x86_64 13.2.1-6.fc39 updates 112 k libgomp x86_64 13.2.1-6.fc39 updates 322 k libidn2 x86_64 2.3.7-1.fc39 updates 119 k libmount x86_64 2.39.3-4.fc39 updates 154 k libnghttp2 x86_64 1.55.1-4.fc39 updates 76 k libnsl2 x86_64 2.0.0-6.fc39 fedora 30 k libpkgconf x86_64 1.9.5-2.fc39 fedora 38 k libpsl x86_64 0.21.2-4.fc39 fedora 63 k libpwquality x86_64 1.4.5-6.fc39 fedora 120 k libselinux x86_64 3.5-5.fc39 fedora 87 k libsemanage x86_64 3.5-4.fc39 fedora 120 k libsepol x86_64 3.5-2.fc39 fedora 324 k libsigsegv x86_64 2.14-5.fc39 fedora 27 k libsmartcols x86_64 2.39.3-4.fc39 updates 67 k libssh x86_64 0.10.6-2.fc39 updates 212 k libssh-config noarch 0.10.6-2.fc39 updates 9.0 k libstdc++ x86_64 13.2.1-6.fc39 updates 865 k libtasn1 x86_64 4.19.0-3.fc39 fedora 74 k libtirpc x86_64 1.3.4-0.rc2.fc39 updates 94 k libunistring x86_64 1.1-5.fc39 fedora 543 k libutempter x86_64 1.2.1-10.fc39 fedora 26 k libuuid x86_64 2.39.3-4.fc39 updates 28 k libverto x86_64 0.3.2-6.fc39 fedora 20 k libxcrypt x86_64 4.4.36-2.fc39 fedora 119 k libxml2 x86_64 2.10.4-3.fc39 fedora 701 k libzstd x86_64 1.5.5-4.fc39 fedora 309 k lua-libs x86_64 5.4.6-3.fc39 fedora 133 k lua-srpm-macros noarch 1-9.fc39 fedora 8.6 k lz4-libs x86_64 1.9.4-4.fc39 fedora 67 k mpfr x86_64 4.2.0-3.fc39 fedora 344 k ncurses-base noarch 6.4-7.20230520.fc39 fedora 88 k ncurses-libs x86_64 6.4-7.20230520.fc39 fedora 336 k ocaml-srpm-macros noarch 8-2.fc39 fedora 14 k openblas-srpm-macros noarch 2-14.fc39 fedora 7.5 k openldap x86_64 2.6.6-1.fc39 fedora 255 k openssl-libs x86_64 1:3.1.1-4.fc39 fedora 2.2 M p11-kit x86_64 0.25.3-1.fc39 updates 520 k p11-kit-trust x86_64 0.25.3-1.fc39 updates 140 k package-notes-srpm-macros noarch 0.5-9.fc39 fedora 11 k pam x86_64 1.5.3-3.fc39 updates 542 k pam-libs x86_64 1.5.3-3.fc39 updates 56 k pcre2 x86_64 10.42-1.fc39.2 fedora 233 k pcre2-syntax noarch 10.42-1.fc39.2 fedora 143 k perl-srpm-macros noarch 1-51.fc39 fedora 8.0 k pkgconf x86_64 1.9.5-2.fc39 fedora 42 k pkgconf-m4 noarch 1.9.5-2.fc39 fedora 14 k pkgconf-pkg-config x86_64 1.9.5-2.fc39 fedora 9.6 k popt x86_64 1.19-3.fc39 fedora 66 k publicsuffix-list-dafsa noarch 20240107-1.fc39 updates 58 k pyproject-srpm-macros noarch 1.12.0-1.fc39 updates 14 k python-srpm-macros noarch 3.12-4.fc39 fedora 25 k qt5-srpm-macros noarch 5.15.12-1.fc39 updates 8.4 k qt6-srpm-macros noarch 6.6.0-1.fc39 updates 8.6 k readline x86_64 8.2-6.fc39 updates 212 k rpm x86_64 4.19.1-1.fc39 updates 538 k rpm-build-libs x86_64 4.19.1-1.fc39 updates 96 k rpm-libs x86_64 4.19.1-1.fc39 updates 312 k rpm-sequoia x86_64 1.6.0-1.fc39 updates 848 k rpmautospec-rpm-macros noarch 0.6.0-2.fc39 updates 9.9 k rust-srpm-macros noarch 25.2-2.fc39 updates 13 k setup noarch 2.14.4-1.fc39 fedora 154 k sqlite-libs x86_64 3.42.0-7.fc39 fedora 678 k systemd-libs x86_64 254.8-2.fc39 updates 687 k util-linux-core x86_64 2.39.3-4.fc39 updates 508 k xxhash-libs x86_64 0.8.2-1.fc39 fedora 37 k xz-libs x86_64 5.4.4-1.fc39 fedora 108 k zip x86_64 3.0-39.fc39 fedora 266 k zlib x86_64 1.2.13-4.fc39 fedora 94 k zstd x86_64 1.5.5-4.fc39 fedora 482 k Installing Groups: Buildsystem building group Transaction Summary ================================================================================ Install 151 Packages Total download size: 52 M Installed size: 179 M Downloading Packages: (1/151): ansible-srpm-macros-1-11.fc39.noarch.r 46 kB/s | 21 kB 00:00 (2/151): basesystem-11-18.fc39.noarch.rpm 79 kB/s | 7.2 kB 00:00 (3/151): authselect-1.4.3-1.fc39.x86_64.rpm 210 kB/s | 149 kB 00:00 (4/151): bzip2-1.0.8-16.fc39.x86_64.rpm 313 kB/s | 52 kB 00:00 (5/151): bzip2-libs-1.0.8-16.fc39.x86_64.rpm 446 kB/s | 41 kB 00:00 (6/151): authselect-libs-1.4.3-1.fc39.x86_64.rp 286 kB/s | 249 kB 00:00 (7/151): cracklib-2.9.11-2.fc39.x86_64.rpm 476 kB/s | 94 kB 00:00 (8/151): cpio-2.14-4.fc39.x86_64.rpm 625 kB/s | 279 kB 00:00 (9/151): diffutils-3.10-3.fc39.x86_64.rpm 826 kB/s | 398 kB 00:00 (10/151): dwz-0.15-3.fc39.x86_64.rpm 832 kB/s | 134 kB 00:00 (11/151): ca-certificates-2023.2.60_v7.0.306-2. 666 kB/s | 837 kB 00:01 (12/151): ed-1.19-4.fc39.x86_64.rpm 960 kB/s | 79 kB 00:00 (13/151): cyrus-sasl-lib-2.1.28-11.fc39.x86_64. 830 kB/s | 793 kB 00:00 (14/151): efi-srpm-macros-5-9.fc39.noarch.rpm 264 kB/s | 22 kB 00:00 (15/151): fedora-repos-39-1.noarch.rpm 116 kB/s | 9.3 kB 00:00 (16/151): file-5.44-5.fc39.x86_64.rpm 588 kB/s | 49 kB 00:00 (17/151): fedora-gpg-keys-39-1.noarch.rpm 787 kB/s | 130 kB 00:00 (18/151): findutils-4.9.0-5.fc39.x86_64.rpm 275 kB/s | 492 kB 00:01 (19/151): fonts-srpm-macros-2.0.5-12.fc39.noarc 264 kB/s | 26 kB 00:00 (20/151): fpc-srpm-macros-1.3-8.fc39.noarch.rpm 72 kB/s | 7.4 kB 00:00 (21/151): file-libs-5.44-5.fc39.x86_64.rpm 340 kB/s | 729 kB 00:02 (22/151): gdbm-libs-1.23-4.fc39.x86_64.rpm 337 kB/s | 56 kB 00:00 (23/151): ghc-srpm-macros-1.6.1-2.fc39.noarch.r 98 kB/s | 7.8 kB 00:00 (24/151): filesystem-3.18-6.fc39.x86_64.rpm 416 kB/s | 1.1 MB 00:02 (25/151): gnat-srpm-macros-6-3.fc39.noarch.rpm 110 kB/s | 8.8 kB 00:00 (26/151): gmp-6.2.1-5.fc39.x86_64.rpm 421 kB/s | 313 kB 00:00 (27/151): grep-3.11-3.fc39.x86_64.rpm 499 kB/s | 298 kB 00:00 (28/151): gzip-1.12-6.fc39.x86_64.rpm 446 kB/s | 166 kB 00:00 (29/151): jansson-2.13.1-7.fc39.x86_64.rpm 437 kB/s | 44 kB 00:00 (30/151): info-7.0.3-3.fc39.x86_64.rpm 585 kB/s | 182 kB 00:00 (31/151): kernel-srpm-macros-1.0-20.fc39.noarch 102 kB/s | 10 kB 00:00 (32/151): keyutils-libs-1.6.1-7.fc39.x86_64.rpm 325 kB/s | 31 kB 00:00 (33/151): libattr-2.5.1-8.fc39.x86_64.rpm 215 kB/s | 18 kB 00:00 (34/151): gawk-5.2.2-2.fc39.x86_64.rpm 580 kB/s | 1.1 MB 00:01 (35/151): libcap-ng-0.8.3-8.fc39.x86_64.rpm 387 kB/s | 32 kB 00:00 (36/151): libcom_err-1.47.0-2.fc39.x86_64.rpm 323 kB/s | 26 kB 00:00 (37/151): libarchive-3.7.1-1.fc39.x86_64.rpm 820 kB/s | 408 kB 00:00 (38/151): libbrotli-1.1.0-1.fc39.x86_64.rpm 819 kB/s | 336 kB 00:00 (39/151): libeconf-0.5.2-1.fc39.x86_64.rpm 381 kB/s | 30 kB 00:00 (40/151): libffi-3.4.4-4.fc39.x86_64.rpm 467 kB/s | 40 kB 00:00 (41/151): libnsl2-2.0.0-6.fc39.x86_64.rpm 263 kB/s | 30 kB 00:00 (42/151): libpkgconf-1.9.5-2.fc39.x86_64.rpm 321 kB/s | 38 kB 00:00 (43/151): libpsl-0.21.2-4.fc39.x86_64.rpm 694 kB/s | 63 kB 00:00 (44/151): libevent-2.1.12-9.fc39.x86_64.rpm 506 kB/s | 258 kB 00:00 (45/151): libpwquality-1.4.5-6.fc39.x86_64.rpm 562 kB/s | 120 kB 00:00 (46/151): libselinux-3.5-5.fc39.x86_64.rpm 369 kB/s | 87 kB 00:00 (47/151): libdb-5.3.28-56.fc39.x86_64.rpm 657 kB/s | 760 kB 00:01 (48/151): libsigsegv-2.14-5.fc39.x86_64.rpm 279 kB/s | 27 kB 00:00 (49/151): libsemanage-3.5-4.fc39.x86_64.rpm 245 kB/s | 120 kB 00:00 (50/151): libtasn1-4.19.0-3.fc39.x86_64.rpm 373 kB/s | 74 kB 00:00 (51/151): libsepol-3.5-2.fc39.x86_64.rpm 581 kB/s | 324 kB 00:00 (52/151): libutempter-1.2.1-10.fc39.x86_64.rpm 326 kB/s | 26 kB 00:00 (53/151): libverto-0.3.2-6.fc39.x86_64.rpm 253 kB/s | 20 kB 00:00 (54/151): libxcrypt-4.4.36-2.fc39.x86_64.rpm 740 kB/s | 119 kB 00:00 (55/151): libzstd-1.5.5-4.fc39.x86_64.rpm 756 kB/s | 309 kB 00:00 (56/151): libunistring-1.1-5.fc39.x86_64.rpm 655 kB/s | 543 kB 00:00 (57/151): lua-srpm-macros-1-9.fc39.noarch.rpm 105 kB/s | 8.6 kB 00:00 (58/151): lua-libs-5.4.6-3.fc39.x86_64.rpm 525 kB/s | 133 kB 00:00 (59/151): lz4-libs-1.9.4-4.fc39.x86_64.rpm 391 kB/s | 67 kB 00:00 (60/151): libxml2-2.10.4-3.fc39.x86_64.rpm 782 kB/s | 701 kB 00:00 (61/151): ncurses-base-6.4-7.20230520.fc39.noar 551 kB/s | 88 kB 00:00 (62/151): ocaml-srpm-macros-8-2.fc39.noarch.rpm 155 kB/s | 14 kB 00:00 (63/151): openblas-srpm-macros-2-14.fc39.noarch 89 kB/s | 7.5 kB 00:00 (64/151): mpfr-4.2.0-3.fc39.x86_64.rpm 689 kB/s | 344 kB 00:00 (65/151): ncurses-libs-6.4-7.20230520.fc39.x86_ 662 kB/s | 336 kB 00:00 (66/151): openldap-2.6.6-1.fc39.x86_64.rpm 765 kB/s | 255 kB 00:00 (67/151): package-notes-srpm-macros-0.5-9.fc39. 139 kB/s | 11 kB 00:00 (68/151): patch-2.7.6-22.fc39.x86_64.rpm 749 kB/s | 125 kB 00:00 (69/151): pcre2-syntax-10.42-1.fc39.2.noarch.rp 812 kB/s | 143 kB 00:00 (70/151): pcre2-10.42-1.fc39.2.x86_64.rpm 432 kB/s | 233 kB 00:00 (71/151): pkgconf-1.9.5-2.fc39.x86_64.rpm 528 kB/s | 42 kB 00:00 (72/151): pkgconf-m4-1.9.5-2.fc39.noarch.rpm 172 kB/s | 14 kB 00:00 (73/151): perl-srpm-macros-1-51.fc39.noarch.rpm 20 kB/s | 8.0 kB 00:00 (74/151): pkgconf-pkg-config-1.9.5-2.fc39.x86_6 120 kB/s | 9.6 kB 00:00 (75/151): python-srpm-macros-3.12-4.fc39.noarch 307 kB/s | 25 kB 00:00 (76/151): popt-1.19-3.fc39.x86_64.rpm 416 kB/s | 66 kB 00:00 (77/151): redhat-rpm-config-262-1.fc39.noarch.r 485 kB/s | 84 kB 00:00 (78/151): setup-2.14.4-1.fc39.noarch.rpm 544 kB/s | 154 kB 00:00 (79/151): sed-4.8-14.fc39.x86_64.rpm 509 kB/s | 306 kB 00:00 (80/151): sqlite-libs-3.42.0-7.fc39.x86_64.rpm 766 kB/s | 678 kB 00:00 (81/151): unzip-6.0-62.fc39.x86_64.rpm 764 kB/s | 184 kB 00:00 (82/151): which-2.21-40.fc39.x86_64.rpm 515 kB/s | 42 kB 00:00 (83/151): xxhash-libs-0.8.2-1.fc39.x86_64.rpm 462 kB/s | 37 kB 00:00 (84/151): openssl-libs-3.1.1-4.fc39.x86_64.rpm 761 kB/s | 2.2 MB 00:02 (85/151): xz-libs-5.4.4-1.fc39.x86_64.rpm 673 kB/s | 108 kB 00:00 (86/151): tar-1.35-2.fc39.x86_64.rpm 513 kB/s | 864 kB 00:01 (87/151): zip-3.0-39.fc39.x86_64.rpm 660 kB/s | 266 kB 00:00 (88/151): xz-5.4.4-1.fc39.x86_64.rpm 768 kB/s | 556 kB 00:00 (89/151): zlib-1.2.13-4.fc39.x86_64.rpm 586 kB/s | 94 kB 00:00 (90/151): alternatives-1.26-1.fc39.x86_64.rpm 444 kB/s | 39 kB 00:00 (91/151): audit-libs-3.1.2-8.fc39.x86_64.rpm 967 kB/s | 117 kB 00:00 (92/151): bash-5.2.26-1.fc39.x86_64.rpm 3.6 MB/s | 1.8 MB 00:00 (93/151): zstd-1.5.5-4.fc39.x86_64.rpm 714 kB/s | 482 kB 00:00 (94/151): binutils-gold-2.40-14.fc39.x86_64.rpm 4.1 MB/s | 795 kB 00:00 (95/151): coreutils-9.3-5.fc39.x86_64.rpm 3.2 MB/s | 1.1 MB 00:00 (96/151): crypto-policies-20231204-1.git1e3a2e4 2.8 MB/s | 100 kB 00:00 (97/151): curl-8.2.1-4.fc39.x86_64.rpm 4.3 MB/s | 345 kB 00:00 (98/151): debugedit-5.0-12.fc39.x86_64.rpm 4.6 MB/s | 79 kB 00:00 (99/151): elfutils-0.190-4.fc39.x86_64.rpm 3.8 MB/s | 551 kB 00:00 (100/151): elfutils-debuginfod-client-0.190-4.f 2.1 MB/s | 38 kB 00:00 (101/151): elfutils-default-yama-scope-0.190-4. 799 kB/s | 13 kB 00:00 (102/151): coreutils-common-9.3-5.fc39.x86_64.r 4.0 MB/s | 2.1 MB 00:00 (103/151): elfutils-libelf-0.190-4.fc39.x86_64. 3.5 MB/s | 194 kB 00:00 (104/151): fedora-release-39-34.noarch.rpm 495 kB/s | 8.4 kB 00:00 (105/151): fedora-release-common-39-34.noarch.r 1.2 MB/s | 19 kB 00:00 (106/151): fedora-release-identity-basic-39-34. 553 kB/s | 9.2 kB 00:00 (107/151): elfutils-libs-0.190-4.fc39.x86_64.rp 4.1 MB/s | 260 kB 00:00 (108/151): binutils-2.40-14.fc39.x86_64.rpm 3.7 MB/s | 5.6 MB 00:01 (109/151): glibc-common-2.38-16.fc39.x86_64.rpm 3.6 MB/s | 353 kB 00:00 (110/151): glibc-2.38-16.fc39.x86_64.rpm 1.9 MB/s | 2.2 MB 00:01 (111/151): glibc-minimal-langpack-2.38-16.fc39. 2.2 MB/s | 71 kB 00:00 (112/151): go-srpm-macros-3.3.1-1.fc39.noarch.r 1.6 MB/s | 28 kB 00:00 (113/151): krb5-libs-1.21.2-3.fc39.x86_64.rpm 2.6 MB/s | 765 kB 00:00 (114/151): libacl-2.3.1-9.fc39.x86_64.rpm 1.5 MB/s | 23 kB 00:00 (115/151): libblkid-2.39.3-4.fc39.x86_64.rpm 2.4 MB/s | 117 kB 00:00 (116/151): libcap-2.48-9.fc39.x86_64.rpm 2.1 MB/s | 68 kB 00:00 (117/151): gdb-minimal-14.1-2.fc39.x86_64.rpm 2.7 MB/s | 4.3 MB 00:01 (118/151): libfdisk-2.39.3-4.fc39.x86_64.rpm 3.4 MB/s | 162 kB 00:00 (119/151): libgcc-13.2.1-6.fc39.x86_64.rpm 2.3 MB/s | 112 kB 00:00 (120/151): libcurl-8.2.1-4.fc39.x86_64.rpm 2.9 MB/s | 323 kB 00:00 (121/151): libidn2-2.3.7-1.fc39.x86_64.rpm 2.5 MB/s | 119 kB 00:00 (122/151): libgomp-13.2.1-6.fc39.x86_64.rpm 3.1 MB/s | 322 kB 00:00 (123/151): libmount-2.39.3-4.fc39.x86_64.rpm 2.9 MB/s | 154 kB 00:00 (124/151): libnghttp2-1.55.1-4.fc39.x86_64.rpm 2.3 MB/s | 76 kB 00:00 (125/151): libsmartcols-2.39.3-4.fc39.x86_64.rp 2.1 MB/s | 67 kB 00:00 (126/151): libssh-config-0.10.6-2.fc39.noarch.r 556 kB/s | 9.0 kB 00:00 (127/151): libssh-0.10.6-2.fc39.x86_64.rpm 3.2 MB/s | 212 kB 00:00 (128/151): libtirpc-1.3.4-0.rc2.fc39.x86_64.rpm 2.8 MB/s | 94 kB 00:00 (129/151): glibc-gconv-extra-2.38-16.fc39.x86_6 1.0 MB/s | 1.6 MB 00:01 (130/151): libuuid-2.39.3-4.fc39.x86_64.rpm 1.8 MB/s | 28 kB 00:00 (131/151): p11-kit-trust-0.25.3-1.fc39.x86_64.r 2.7 MB/s | 140 kB 00:00 (132/151): libstdc++-13.2.1-6.fc39.x86_64.rpm 3.3 MB/s | 865 kB 00:00 (133/151): p11-kit-0.25.3-1.fc39.x86_64.rpm 2.8 MB/s | 520 kB 00:00 (134/151): pam-libs-1.5.3-3.fc39.x86_64.rpm 3.4 MB/s | 56 kB 00:00 (135/151): pam-1.5.3-3.fc39.x86_64.rpm 3.7 MB/s | 542 kB 00:00 (136/151): pyproject-srpm-macros-1.12.0-1.fc39. 868 kB/s | 14 kB 00:00 (137/151): publicsuffix-list-dafsa-20240107-1.f 1.8 MB/s | 58 kB 00:00 (138/151): qt5-srpm-macros-5.15.12-1.fc39.noarc 541 kB/s | 8.4 kB 00:00 (139/151): qt6-srpm-macros-6.6.0-1.fc39.noarch. 549 kB/s | 8.6 kB 00:00 (140/151): rpm-build-4.19.1-1.fc39.x86_64.rpm 2.3 MB/s | 79 kB 00:00 (141/151): readline-8.2-6.fc39.x86_64.rpm 3.1 MB/s | 212 kB 00:00 (142/151): rpm-build-libs-4.19.1-1.fc39.x86_64. 2.7 MB/s | 96 kB 00:00 (143/151): rpm-4.19.1-1.fc39.x86_64.rpm 3.0 MB/s | 538 kB 00:00 (144/151): rpm-libs-4.19.1-1.fc39.x86_64.rpm 2.3 MB/s | 312 kB 00:00 (145/151): rpmautospec-rpm-macros-0.6.0-2.fc39. 382 kB/s | 9.9 kB 00:00 (146/151): rust-srpm-macros-25.2-2.fc39.noarch. 539 kB/s | 13 kB 00:00 (147/151): rpm-sequoia-1.6.0-1.fc39.x86_64.rpm 2.4 MB/s | 848 kB 00:00 (148/151): systemd-libs-254.8-2.fc39.x86_64.rpm 1.4 MB/s | 687 kB 00:00 (149/151): shadow-utils-4.14.0-2.fc39.x86_64.rp 1.2 MB/s | 1.3 MB 00:01 (150/151): util-linux-core-2.39.3-4.fc39.x86_64 800 kB/s | 508 kB 00:00 (151/151): util-linux-2.39.3-4.fc39.x86_64.rpm 803 kB/s | 1.2 MB 00:01 -------------------------------------------------------------------------------- Total 2.9 MB/s | 52 MB 00:18 fedora 1.6 MB/s | 1.6 kB 00:00 Importing GPG key 0x18B8E74C: Userid : "Fedora (39) " Fingerprint: E8F2 3996 F232 1864 0CB4 4CBE 75CF 5AC4 18B8 E74C From : /usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-39-primary Key imported successfully Running transaction check Transaction check succeeded. Running transaction test Transaction test succeeded. Running transaction Running scriptlet: filesystem-3.18-6.fc39.x86_64 1/1 Preparing : 1/1 Installing : libgcc-13.2.1-6.fc39.x86_64 1/151 Running scriptlet: libgcc-13.2.1-6.fc39.x86_64 1/151 Installing : crypto-policies-20231204-1.git1e3a2e4.fc39.noarc 2/151 Running scriptlet: crypto-policies-20231204-1.git1e3a2e4.fc39.noarc 2/151 Installing : fedora-release-identity-basic-39-34.noarch 3/151 Installing : fedora-gpg-keys-39-1.noarch 4/151 Installing : fedora-repos-39-1.noarch 5/151 Installing : fedora-release-common-39-34.noarch 6/151 Installing : fedora-release-39-34.noarch 7/151 Installing : setup-2.14.4-1.fc39.noarch 8/151 Running scriptlet: setup-2.14.4-1.fc39.noarch 8/151 Installing : filesystem-3.18-6.fc39.x86_64 9/151 Installing : basesystem-11-18.fc39.noarch 10/151 Installing : rust-srpm-macros-25.2-2.fc39.noarch 11/151 Installing : qt6-srpm-macros-6.6.0-1.fc39.noarch 12/151 Installing : qt5-srpm-macros-5.15.12-1.fc39.noarch 13/151 Installing : publicsuffix-list-dafsa-20240107-1.fc39.noarch 14/151 Installing : libssh-config-0.10.6-2.fc39.noarch 15/151 Installing : coreutils-common-9.3-5.fc39.x86_64 16/151 Installing : pkgconf-m4-1.9.5-2.fc39.noarch 17/151 Installing : perl-srpm-macros-1-51.fc39.noarch 18/151 Installing : pcre2-syntax-10.42-1.fc39.2.noarch 19/151 Installing : package-notes-srpm-macros-0.5-9.fc39.noarch 20/151 Installing : openblas-srpm-macros-2-14.fc39.noarch 21/151 Installing : ocaml-srpm-macros-8-2.fc39.noarch 22/151 Installing : ncurses-base-6.4-7.20230520.fc39.noarch 23/151 Installing : ncurses-libs-6.4-7.20230520.fc39.x86_64 24/151 Installing : bash-5.2.26-1.fc39.x86_64 25/151 Running scriptlet: bash-5.2.26-1.fc39.x86_64 25/151 Installing : glibc-common-2.38-16.fc39.x86_64 26/151 Installing : glibc-gconv-extra-2.38-16.fc39.x86_64 27/151 Running scriptlet: glibc-gconv-extra-2.38-16.fc39.x86_64 27/151 Installing : glibc-minimal-langpack-2.38-16.fc39.x86_64 28/151 Running scriptlet: glibc-2.38-16.fc39.x86_64 29/151 Installing : glibc-2.38-16.fc39.x86_64 29/151 Running scriptlet: glibc-2.38-16.fc39.x86_64 29/151 Installing : zlib-1.2.13-4.fc39.x86_64 30/151 Installing : xz-libs-5.4.4-1.fc39.x86_64 31/151 Installing : bzip2-libs-1.0.8-16.fc39.x86_64 32/151 Installing : libzstd-1.5.5-4.fc39.x86_64 33/151 Installing : elfutils-libelf-0.190-4.fc39.x86_64 34/151 Installing : popt-1.19-3.fc39.x86_64 35/151 Installing : libstdc++-13.2.1-6.fc39.x86_64 36/151 Installing : libuuid-2.39.3-4.fc39.x86_64 37/151 Installing : libblkid-2.39.3-4.fc39.x86_64 38/151 Installing : gmp-1:6.2.1-5.fc39.x86_64 39/151 Installing : libattr-2.5.1-8.fc39.x86_64 40/151 Installing : libacl-2.3.1-9.fc39.x86_64 41/151 Installing : libxcrypt-4.4.36-2.fc39.x86_64 42/151 Installing : libcap-2.48-9.fc39.x86_64 43/151 Installing : readline-8.2-6.fc39.x86_64 44/151 Installing : libeconf-0.5.2-1.fc39.x86_64 45/151 Installing : lz4-libs-1.9.4-4.fc39.x86_64 46/151 Installing : systemd-libs-254.8-2.fc39.x86_64 47/151 Installing : mpfr-4.2.0-3.fc39.x86_64 48/151 Installing : dwz-0.15-3.fc39.x86_64 49/151 Installing : unzip-6.0-62.fc39.x86_64 50/151 Installing : file-libs-5.44-5.fc39.x86_64 51/151 Installing : file-5.44-5.fc39.x86_64 52/151 Installing : jansson-2.13.1-7.fc39.x86_64 53/151 Installing : libcap-ng-0.8.3-8.fc39.x86_64 54/151 Installing : audit-libs-3.1.2-8.fc39.x86_64 55/151 Installing : pam-libs-1.5.3-3.fc39.x86_64 56/151 Installing : libcom_err-1.47.0-2.fc39.x86_64 57/151 Installing : libsepol-3.5-2.fc39.x86_64 58/151 Installing : libtasn1-4.19.0-3.fc39.x86_64 59/151 Installing : libunistring-1.1-5.fc39.x86_64 60/151 Installing : libidn2-2.3.7-1.fc39.x86_64 61/151 Installing : lua-libs-5.4.6-3.fc39.x86_64 62/151 Installing : pcre2-10.42-1.fc39.2.x86_64 63/151 Installing : libselinux-3.5-5.fc39.x86_64 64/151 Installing : sed-4.8-14.fc39.x86_64 65/151 Installing : grep-3.11-3.fc39.x86_64 66/151 Installing : findutils-1:4.9.0-5.fc39.x86_64 67/151 Installing : xz-5.4.4-1.fc39.x86_64 68/151 Installing : libmount-2.39.3-4.fc39.x86_64 69/151 Installing : alternatives-1.26-1.fc39.x86_64 70/151 Installing : libsmartcols-2.39.3-4.fc39.x86_64 71/151 Installing : util-linux-core-2.39.3-4.fc39.x86_64 72/151 Installing : libsemanage-3.5-4.fc39.x86_64 73/151 Installing : shadow-utils-2:4.14.0-2.fc39.x86_64 74/151 Running scriptlet: libutempter-1.2.1-10.fc39.x86_64 75/151 Installing : libutempter-1.2.1-10.fc39.x86_64 75/151 Installing : tar-2:1.35-2.fc39.x86_64 76/151 Installing : libpsl-0.21.2-4.fc39.x86_64 77/151 Installing : zip-3.0-39.fc39.x86_64 78/151 Installing : zstd-1.5.5-4.fc39.x86_64 79/151 Installing : libfdisk-2.39.3-4.fc39.x86_64 80/151 Installing : bzip2-1.0.8-16.fc39.x86_64 81/151 Installing : libxml2-2.10.4-3.fc39.x86_64 82/151 Installing : sqlite-libs-3.42.0-7.fc39.x86_64 83/151 Installing : cpio-2.14-4.fc39.x86_64 84/151 Installing : diffutils-3.10-3.fc39.x86_64 85/151 Installing : ed-1.19-4.fc39.x86_64 86/151 Installing : patch-2.7.6-22.fc39.x86_64 87/151 Installing : gdbm-libs-1:1.23-4.fc39.x86_64 88/151 Installing : cyrus-sasl-lib-2.1.28-11.fc39.x86_64 89/151 Installing : keyutils-libs-1.6.1-7.fc39.x86_64 90/151 Installing : libbrotli-1.1.0-1.fc39.x86_64 91/151 Installing : libdb-5.3.28-56.fc39.x86_64 92/151 Installing : libffi-3.4.4-4.fc39.x86_64 93/151 Installing : p11-kit-0.25.3-1.fc39.x86_64 94/151 Installing : p11-kit-trust-0.25.3-1.fc39.x86_64 95/151 Running scriptlet: p11-kit-trust-0.25.3-1.fc39.x86_64 95/151 Installing : openssl-libs-1:3.1.1-4.fc39.x86_64 96/151 Installing : coreutils-9.3-5.fc39.x86_64 97/151 Running scriptlet: ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch 98/151 Installing : ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch 98/151 Running scriptlet: ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch 98/151 Running scriptlet: authselect-libs-1.4.3-1.fc39.x86_64 99/151 Installing : authselect-libs-1.4.3-1.fc39.x86_64 99/151 Installing : gzip-1.12-6.fc39.x86_64 100/151 Installing : cracklib-2.9.11-2.fc39.x86_64 101/151 Installing : libpwquality-1.4.5-6.fc39.x86_64 102/151 Installing : authselect-1.4.3-1.fc39.x86_64 103/151 Installing : libarchive-3.7.1-1.fc39.x86_64 104/151 Installing : libevent-2.1.12-9.fc39.x86_64 105/151 Installing : openldap-2.6.6-1.fc39.x86_64 106/151 Installing : rpm-sequoia-1.6.0-1.fc39.x86_64 107/151 Installing : rpm-libs-4.19.1-1.fc39.x86_64 108/151 Installing : libpkgconf-1.9.5-2.fc39.x86_64 109/151 Installing : pkgconf-1.9.5-2.fc39.x86_64 110/151 Installing : pkgconf-pkg-config-1.9.5-2.fc39.x86_64 111/151 Installing : libsigsegv-2.14-5.fc39.x86_64 112/151 Installing : gawk-5.2.2-2.fc39.x86_64 113/151 Installing : libverto-0.3.2-6.fc39.x86_64 114/151 Installing : krb5-libs-1.21.2-3.fc39.x86_64 115/151 Installing : libtirpc-1.3.4-0.rc2.fc39.x86_64 116/151 Installing : libnsl2-2.0.0-6.fc39.x86_64 117/151 Installing : pam-1.5.3-3.fc39.x86_64 118/151 Installing : libssh-0.10.6-2.fc39.x86_64 119/151 Installing : xxhash-libs-0.8.2-1.fc39.x86_64 120/151 Installing : libgomp-13.2.1-6.fc39.x86_64 121/151 Installing : libnghttp2-1.55.1-4.fc39.x86_64 122/151 Installing : libcurl-8.2.1-4.fc39.x86_64 123/151 Installing : curl-8.2.1-4.fc39.x86_64 124/151 Running scriptlet: rpm-4.19.1-1.fc39.x86_64 125/151 Installing : rpm-4.19.1-1.fc39.x86_64 125/151 Installing : efi-srpm-macros-5-9.fc39.noarch 126/151 Installing : lua-srpm-macros-1-9.fc39.noarch 127/151 Installing : rpmautospec-rpm-macros-0.6.0-2.fc39.noarch 128/151 Installing : elfutils-default-yama-scope-0.190-4.fc39.noarch 129/151 Running scriptlet: elfutils-default-yama-scope-0.190-4.fc39.noarch 129/151 Installing : elfutils-libs-0.190-4.fc39.x86_64 130/151 Installing : elfutils-debuginfod-client-0.190-4.fc39.x86_64 131/151 Installing : binutils-gold-2.40-14.fc39.x86_64 132/151 Running scriptlet: binutils-gold-2.40-14.fc39.x86_64 132/151 Installing : binutils-2.40-14.fc39.x86_64 133/151 Running scriptlet: binutils-2.40-14.fc39.x86_64 133/151 Installing : elfutils-0.190-4.fc39.x86_64 134/151 Installing : gdb-minimal-14.1-2.fc39.x86_64 135/151 Installing : debugedit-5.0-12.fc39.x86_64 136/151 Installing : rpm-build-libs-4.19.1-1.fc39.x86_64 137/151 Installing : kernel-srpm-macros-1.0-20.fc39.noarch 138/151 Installing : gnat-srpm-macros-6-3.fc39.noarch 139/151 Installing : ghc-srpm-macros-1.6.1-2.fc39.noarch 140/151 Installing : fpc-srpm-macros-1.3-8.fc39.noarch 141/151 Installing : ansible-srpm-macros-1-11.fc39.noarch 142/151 Installing : fonts-srpm-macros-1:2.0.5-12.fc39.noarch 143/151 Installing : python-srpm-macros-3.12-4.fc39.noarch 144/151 Installing : go-srpm-macros-3.3.1-1.fc39.noarch 145/151 Installing : pyproject-srpm-macros-1.12.0-1.fc39.noarch 146/151 Installing : redhat-rpm-config-262-1.fc39.noarch 147/151 Installing : rpm-build-4.19.1-1.fc39.x86_64 148/151 Installing : util-linux-2.39.3-4.fc39.x86_64 149/151 Installing : which-2.21-40.fc39.x86_64 150/151 Installing : info-7.0.3-3.fc39.x86_64 151/151 Running scriptlet: filesystem-3.18-6.fc39.x86_64 151/151 Running scriptlet: ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch 151/151 Running scriptlet: authselect-libs-1.4.3-1.fc39.x86_64 151/151 Running scriptlet: rpm-4.19.1-1.fc39.x86_64 151/151 Running scriptlet: info-7.0.3-3.fc39.x86_64 151/151 Verifying : ansible-srpm-macros-1-11.fc39.noarch 1/151 Verifying : authselect-1.4.3-1.fc39.x86_64 2/151 Verifying : authselect-libs-1.4.3-1.fc39.x86_64 3/151 Verifying : basesystem-11-18.fc39.noarch 4/151 Verifying : bzip2-1.0.8-16.fc39.x86_64 5/151 Verifying : bzip2-libs-1.0.8-16.fc39.x86_64 6/151 Verifying : ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch 7/151 Verifying : cpio-2.14-4.fc39.x86_64 8/151 Verifying : cracklib-2.9.11-2.fc39.x86_64 9/151 Verifying : cyrus-sasl-lib-2.1.28-11.fc39.x86_64 10/151 Verifying : diffutils-3.10-3.fc39.x86_64 11/151 Verifying : dwz-0.15-3.fc39.x86_64 12/151 Verifying : ed-1.19-4.fc39.x86_64 13/151 Verifying : efi-srpm-macros-5-9.fc39.noarch 14/151 Verifying : fedora-gpg-keys-39-1.noarch 15/151 Verifying : fedora-repos-39-1.noarch 16/151 Verifying : file-5.44-5.fc39.x86_64 17/151 Verifying : file-libs-5.44-5.fc39.x86_64 18/151 Verifying : filesystem-3.18-6.fc39.x86_64 19/151 Verifying : findutils-1:4.9.0-5.fc39.x86_64 20/151 Verifying : fonts-srpm-macros-1:2.0.5-12.fc39.noarch 21/151 Verifying : fpc-srpm-macros-1.3-8.fc39.noarch 22/151 Verifying : gawk-5.2.2-2.fc39.x86_64 23/151 Verifying : gdbm-libs-1:1.23-4.fc39.x86_64 24/151 Verifying : ghc-srpm-macros-1.6.1-2.fc39.noarch 25/151 Verifying : gmp-1:6.2.1-5.fc39.x86_64 26/151 Verifying : gnat-srpm-macros-6-3.fc39.noarch 27/151 Verifying : grep-3.11-3.fc39.x86_64 28/151 Verifying : gzip-1.12-6.fc39.x86_64 29/151 Verifying : info-7.0.3-3.fc39.x86_64 30/151 Verifying : jansson-2.13.1-7.fc39.x86_64 31/151 Verifying : kernel-srpm-macros-1.0-20.fc39.noarch 32/151 Verifying : keyutils-libs-1.6.1-7.fc39.x86_64 33/151 Verifying : libarchive-3.7.1-1.fc39.x86_64 34/151 Verifying : libattr-2.5.1-8.fc39.x86_64 35/151 Verifying : libbrotli-1.1.0-1.fc39.x86_64 36/151 Verifying : libcap-ng-0.8.3-8.fc39.x86_64 37/151 Verifying : libcom_err-1.47.0-2.fc39.x86_64 38/151 Verifying : libdb-5.3.28-56.fc39.x86_64 39/151 Verifying : libeconf-0.5.2-1.fc39.x86_64 40/151 Verifying : libevent-2.1.12-9.fc39.x86_64 41/151 Verifying : libffi-3.4.4-4.fc39.x86_64 42/151 Verifying : libnsl2-2.0.0-6.fc39.x86_64 43/151 Verifying : libpkgconf-1.9.5-2.fc39.x86_64 44/151 Verifying : libpsl-0.21.2-4.fc39.x86_64 45/151 Verifying : libpwquality-1.4.5-6.fc39.x86_64 46/151 Verifying : libselinux-3.5-5.fc39.x86_64 47/151 Verifying : libsemanage-3.5-4.fc39.x86_64 48/151 Verifying : libsepol-3.5-2.fc39.x86_64 49/151 Verifying : libsigsegv-2.14-5.fc39.x86_64 50/151 Verifying : libtasn1-4.19.0-3.fc39.x86_64 51/151 Verifying : libunistring-1.1-5.fc39.x86_64 52/151 Verifying : libutempter-1.2.1-10.fc39.x86_64 53/151 Verifying : libverto-0.3.2-6.fc39.x86_64 54/151 Verifying : libxcrypt-4.4.36-2.fc39.x86_64 55/151 Verifying : libxml2-2.10.4-3.fc39.x86_64 56/151 Verifying : libzstd-1.5.5-4.fc39.x86_64 57/151 Verifying : lua-libs-5.4.6-3.fc39.x86_64 58/151 Verifying : lua-srpm-macros-1-9.fc39.noarch 59/151 Verifying : lz4-libs-1.9.4-4.fc39.x86_64 60/151 Verifying : mpfr-4.2.0-3.fc39.x86_64 61/151 Verifying : ncurses-base-6.4-7.20230520.fc39.noarch 62/151 Verifying : ncurses-libs-6.4-7.20230520.fc39.x86_64 63/151 Verifying : ocaml-srpm-macros-8-2.fc39.noarch 64/151 Verifying : openblas-srpm-macros-2-14.fc39.noarch 65/151 Verifying : openldap-2.6.6-1.fc39.x86_64 66/151 Verifying : openssl-libs-1:3.1.1-4.fc39.x86_64 67/151 Verifying : package-notes-srpm-macros-0.5-9.fc39.noarch 68/151 Verifying : patch-2.7.6-22.fc39.x86_64 69/151 Verifying : pcre2-10.42-1.fc39.2.x86_64 70/151 Verifying : pcre2-syntax-10.42-1.fc39.2.noarch 71/151 Verifying : perl-srpm-macros-1-51.fc39.noarch 72/151 Verifying : pkgconf-1.9.5-2.fc39.x86_64 73/151 Verifying : pkgconf-m4-1.9.5-2.fc39.noarch 74/151 Verifying : pkgconf-pkg-config-1.9.5-2.fc39.x86_64 75/151 Verifying : popt-1.19-3.fc39.x86_64 76/151 Verifying : python-srpm-macros-3.12-4.fc39.noarch 77/151 Verifying : redhat-rpm-config-262-1.fc39.noarch 78/151 Verifying : sed-4.8-14.fc39.x86_64 79/151 Verifying : setup-2.14.4-1.fc39.noarch 80/151 Verifying : sqlite-libs-3.42.0-7.fc39.x86_64 81/151 Verifying : tar-2:1.35-2.fc39.x86_64 82/151 Verifying : unzip-6.0-62.fc39.x86_64 83/151 Verifying : which-2.21-40.fc39.x86_64 84/151 Verifying : xxhash-libs-0.8.2-1.fc39.x86_64 85/151 Verifying : xz-5.4.4-1.fc39.x86_64 86/151 Verifying : xz-libs-5.4.4-1.fc39.x86_64 87/151 Verifying : zip-3.0-39.fc39.x86_64 88/151 Verifying : zlib-1.2.13-4.fc39.x86_64 89/151 Verifying : zstd-1.5.5-4.fc39.x86_64 90/151 Verifying : alternatives-1.26-1.fc39.x86_64 91/151 Verifying : audit-libs-3.1.2-8.fc39.x86_64 92/151 Verifying : bash-5.2.26-1.fc39.x86_64 93/151 Verifying : binutils-2.40-14.fc39.x86_64 94/151 Verifying : binutils-gold-2.40-14.fc39.x86_64 95/151 Verifying : coreutils-9.3-5.fc39.x86_64 96/151 Verifying : coreutils-common-9.3-5.fc39.x86_64 97/151 Verifying : crypto-policies-20231204-1.git1e3a2e4.fc39.noarc 98/151 Verifying : curl-8.2.1-4.fc39.x86_64 99/151 Verifying : debugedit-5.0-12.fc39.x86_64 100/151 Verifying : elfutils-0.190-4.fc39.x86_64 101/151 Verifying : elfutils-debuginfod-client-0.190-4.fc39.x86_64 102/151 Verifying : elfutils-default-yama-scope-0.190-4.fc39.noarch 103/151 Verifying : elfutils-libelf-0.190-4.fc39.x86_64 104/151 Verifying : elfutils-libs-0.190-4.fc39.x86_64 105/151 Verifying : fedora-release-39-34.noarch 106/151 Verifying : fedora-release-common-39-34.noarch 107/151 Verifying : fedora-release-identity-basic-39-34.noarch 108/151 Verifying : gdb-minimal-14.1-2.fc39.x86_64 109/151 Verifying : glibc-2.38-16.fc39.x86_64 110/151 Verifying : glibc-common-2.38-16.fc39.x86_64 111/151 Verifying : glibc-gconv-extra-2.38-16.fc39.x86_64 112/151 Verifying : glibc-minimal-langpack-2.38-16.fc39.x86_64 113/151 Verifying : go-srpm-macros-3.3.1-1.fc39.noarch 114/151 Verifying : krb5-libs-1.21.2-3.fc39.x86_64 115/151 Verifying : libacl-2.3.1-9.fc39.x86_64 116/151 Verifying : libblkid-2.39.3-4.fc39.x86_64 117/151 Verifying : libcap-2.48-9.fc39.x86_64 118/151 Verifying : libcurl-8.2.1-4.fc39.x86_64 119/151 Verifying : libfdisk-2.39.3-4.fc39.x86_64 120/151 Verifying : libgcc-13.2.1-6.fc39.x86_64 121/151 Verifying : libgomp-13.2.1-6.fc39.x86_64 122/151 Verifying : libidn2-2.3.7-1.fc39.x86_64 123/151 Verifying : libmount-2.39.3-4.fc39.x86_64 124/151 Verifying : libnghttp2-1.55.1-4.fc39.x86_64 125/151 Verifying : libsmartcols-2.39.3-4.fc39.x86_64 126/151 Verifying : libssh-0.10.6-2.fc39.x86_64 127/151 Verifying : libssh-config-0.10.6-2.fc39.noarch 128/151 Verifying : libstdc++-13.2.1-6.fc39.x86_64 129/151 Verifying : libtirpc-1.3.4-0.rc2.fc39.x86_64 130/151 Verifying : libuuid-2.39.3-4.fc39.x86_64 131/151 Verifying : p11-kit-0.25.3-1.fc39.x86_64 132/151 Verifying : p11-kit-trust-0.25.3-1.fc39.x86_64 133/151 Verifying : pam-1.5.3-3.fc39.x86_64 134/151 Verifying : pam-libs-1.5.3-3.fc39.x86_64 135/151 Verifying : publicsuffix-list-dafsa-20240107-1.fc39.noarch 136/151 Verifying : pyproject-srpm-macros-1.12.0-1.fc39.noarch 137/151 Verifying : qt5-srpm-macros-5.15.12-1.fc39.noarch 138/151 Verifying : qt6-srpm-macros-6.6.0-1.fc39.noarch 139/151 Verifying : readline-8.2-6.fc39.x86_64 140/151 Verifying : rpm-4.19.1-1.fc39.x86_64 141/151 Verifying : rpm-build-4.19.1-1.fc39.x86_64 142/151 Verifying : rpm-build-libs-4.19.1-1.fc39.x86_64 143/151 Verifying : rpm-libs-4.19.1-1.fc39.x86_64 144/151 Verifying : rpm-sequoia-1.6.0-1.fc39.x86_64 145/151 Verifying : rpmautospec-rpm-macros-0.6.0-2.fc39.noarch 146/151 Verifying : rust-srpm-macros-25.2-2.fc39.noarch 147/151 Verifying : shadow-utils-2:4.14.0-2.fc39.x86_64 148/151 Verifying : systemd-libs-254.8-2.fc39.x86_64 149/151 Verifying : util-linux-2.39.3-4.fc39.x86_64 150/151 Verifying : util-linux-core-2.39.3-4.fc39.x86_64 151/151 Installed: alternatives-1.26-1.fc39.x86_64 ansible-srpm-macros-1-11.fc39.noarch audit-libs-3.1.2-8.fc39.x86_64 authselect-1.4.3-1.fc39.x86_64 authselect-libs-1.4.3-1.fc39.x86_64 basesystem-11-18.fc39.noarch bash-5.2.26-1.fc39.x86_64 binutils-2.40-14.fc39.x86_64 binutils-gold-2.40-14.fc39.x86_64 bzip2-1.0.8-16.fc39.x86_64 bzip2-libs-1.0.8-16.fc39.x86_64 ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch coreutils-9.3-5.fc39.x86_64 coreutils-common-9.3-5.fc39.x86_64 cpio-2.14-4.fc39.x86_64 cracklib-2.9.11-2.fc39.x86_64 crypto-policies-20231204-1.git1e3a2e4.fc39.noarch curl-8.2.1-4.fc39.x86_64 cyrus-sasl-lib-2.1.28-11.fc39.x86_64 debugedit-5.0-12.fc39.x86_64 diffutils-3.10-3.fc39.x86_64 dwz-0.15-3.fc39.x86_64 ed-1.19-4.fc39.x86_64 efi-srpm-macros-5-9.fc39.noarch elfutils-0.190-4.fc39.x86_64 elfutils-debuginfod-client-0.190-4.fc39.x86_64 elfutils-default-yama-scope-0.190-4.fc39.noarch elfutils-libelf-0.190-4.fc39.x86_64 elfutils-libs-0.190-4.fc39.x86_64 fedora-gpg-keys-39-1.noarch fedora-release-39-34.noarch fedora-release-common-39-34.noarch fedora-release-identity-basic-39-34.noarch fedora-repos-39-1.noarch file-5.44-5.fc39.x86_64 file-libs-5.44-5.fc39.x86_64 filesystem-3.18-6.fc39.x86_64 findutils-1:4.9.0-5.fc39.x86_64 fonts-srpm-macros-1:2.0.5-12.fc39.noarch fpc-srpm-macros-1.3-8.fc39.noarch gawk-5.2.2-2.fc39.x86_64 gdb-minimal-14.1-2.fc39.x86_64 gdbm-libs-1:1.23-4.fc39.x86_64 ghc-srpm-macros-1.6.1-2.fc39.noarch glibc-2.38-16.fc39.x86_64 glibc-common-2.38-16.fc39.x86_64 glibc-gconv-extra-2.38-16.fc39.x86_64 glibc-minimal-langpack-2.38-16.fc39.x86_64 gmp-1:6.2.1-5.fc39.x86_64 gnat-srpm-macros-6-3.fc39.noarch go-srpm-macros-3.3.1-1.fc39.noarch grep-3.11-3.fc39.x86_64 gzip-1.12-6.fc39.x86_64 info-7.0.3-3.fc39.x86_64 jansson-2.13.1-7.fc39.x86_64 kernel-srpm-macros-1.0-20.fc39.noarch keyutils-libs-1.6.1-7.fc39.x86_64 krb5-libs-1.21.2-3.fc39.x86_64 libacl-2.3.1-9.fc39.x86_64 libarchive-3.7.1-1.fc39.x86_64 libattr-2.5.1-8.fc39.x86_64 libblkid-2.39.3-4.fc39.x86_64 libbrotli-1.1.0-1.fc39.x86_64 libcap-2.48-9.fc39.x86_64 libcap-ng-0.8.3-8.fc39.x86_64 libcom_err-1.47.0-2.fc39.x86_64 libcurl-8.2.1-4.fc39.x86_64 libdb-5.3.28-56.fc39.x86_64 libeconf-0.5.2-1.fc39.x86_64 libevent-2.1.12-9.fc39.x86_64 libfdisk-2.39.3-4.fc39.x86_64 libffi-3.4.4-4.fc39.x86_64 libgcc-13.2.1-6.fc39.x86_64 libgomp-13.2.1-6.fc39.x86_64 libidn2-2.3.7-1.fc39.x86_64 libmount-2.39.3-4.fc39.x86_64 libnghttp2-1.55.1-4.fc39.x86_64 libnsl2-2.0.0-6.fc39.x86_64 libpkgconf-1.9.5-2.fc39.x86_64 libpsl-0.21.2-4.fc39.x86_64 libpwquality-1.4.5-6.fc39.x86_64 libselinux-3.5-5.fc39.x86_64 libsemanage-3.5-4.fc39.x86_64 libsepol-3.5-2.fc39.x86_64 libsigsegv-2.14-5.fc39.x86_64 libsmartcols-2.39.3-4.fc39.x86_64 libssh-0.10.6-2.fc39.x86_64 libssh-config-0.10.6-2.fc39.noarch libstdc++-13.2.1-6.fc39.x86_64 libtasn1-4.19.0-3.fc39.x86_64 libtirpc-1.3.4-0.rc2.fc39.x86_64 libunistring-1.1-5.fc39.x86_64 libutempter-1.2.1-10.fc39.x86_64 libuuid-2.39.3-4.fc39.x86_64 libverto-0.3.2-6.fc39.x86_64 libxcrypt-4.4.36-2.fc39.x86_64 libxml2-2.10.4-3.fc39.x86_64 libzstd-1.5.5-4.fc39.x86_64 lua-libs-5.4.6-3.fc39.x86_64 lua-srpm-macros-1-9.fc39.noarch lz4-libs-1.9.4-4.fc39.x86_64 mpfr-4.2.0-3.fc39.x86_64 ncurses-base-6.4-7.20230520.fc39.noarch ncurses-libs-6.4-7.20230520.fc39.x86_64 ocaml-srpm-macros-8-2.fc39.noarch openblas-srpm-macros-2-14.fc39.noarch openldap-2.6.6-1.fc39.x86_64 openssl-libs-1:3.1.1-4.fc39.x86_64 p11-kit-0.25.3-1.fc39.x86_64 p11-kit-trust-0.25.3-1.fc39.x86_64 package-notes-srpm-macros-0.5-9.fc39.noarch pam-1.5.3-3.fc39.x86_64 pam-libs-1.5.3-3.fc39.x86_64 patch-2.7.6-22.fc39.x86_64 pcre2-10.42-1.fc39.2.x86_64 pcre2-syntax-10.42-1.fc39.2.noarch perl-srpm-macros-1-51.fc39.noarch pkgconf-1.9.5-2.fc39.x86_64 pkgconf-m4-1.9.5-2.fc39.noarch pkgconf-pkg-config-1.9.5-2.fc39.x86_64 popt-1.19-3.fc39.x86_64 publicsuffix-list-dafsa-20240107-1.fc39.noarch pyproject-srpm-macros-1.12.0-1.fc39.noarch python-srpm-macros-3.12-4.fc39.noarch qt5-srpm-macros-5.15.12-1.fc39.noarch qt6-srpm-macros-6.6.0-1.fc39.noarch readline-8.2-6.fc39.x86_64 redhat-rpm-config-262-1.fc39.noarch rpm-4.19.1-1.fc39.x86_64 rpm-build-4.19.1-1.fc39.x86_64 rpm-build-libs-4.19.1-1.fc39.x86_64 rpm-libs-4.19.1-1.fc39.x86_64 rpm-sequoia-1.6.0-1.fc39.x86_64 rpmautospec-rpm-macros-0.6.0-2.fc39.noarch rust-srpm-macros-25.2-2.fc39.noarch sed-4.8-14.fc39.x86_64 setup-2.14.4-1.fc39.noarch shadow-utils-2:4.14.0-2.fc39.x86_64 sqlite-libs-3.42.0-7.fc39.x86_64 systemd-libs-254.8-2.fc39.x86_64 tar-2:1.35-2.fc39.x86_64 unzip-6.0-62.fc39.x86_64 util-linux-2.39.3-4.fc39.x86_64 util-linux-core-2.39.3-4.fc39.x86_64 which-2.21-40.fc39.x86_64 xxhash-libs-0.8.2-1.fc39.x86_64 xz-5.4.4-1.fc39.x86_64 xz-libs-5.4.4-1.fc39.x86_64 zip-3.0-39.fc39.x86_64 zlib-1.2.13-4.fc39.x86_64 zstd-1.5.5-4.fc39.x86_64 Complete! Finish: installing minimal buildroot with dnf Start: creating root cache Finish: creating root cache Finish: chroot init INFO: Installed packages: INFO: alternatives-1.26-1.fc39.x86_64 ansible-srpm-macros-1-11.fc39.noarch audit-libs-3.1.2-8.fc39.x86_64 authselect-1.4.3-1.fc39.x86_64 authselect-libs-1.4.3-1.fc39.x86_64 basesystem-11-18.fc39.noarch bash-5.2.26-1.fc39.x86_64 binutils-2.40-14.fc39.x86_64 binutils-gold-2.40-14.fc39.x86_64 bzip2-1.0.8-16.fc39.x86_64 bzip2-libs-1.0.8-16.fc39.x86_64 ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch coreutils-9.3-5.fc39.x86_64 coreutils-common-9.3-5.fc39.x86_64 cpio-2.14-4.fc39.x86_64 cracklib-2.9.11-2.fc39.x86_64 crypto-policies-20231204-1.git1e3a2e4.fc39.noarch curl-8.2.1-4.fc39.x86_64 cyrus-sasl-lib-2.1.28-11.fc39.x86_64 debugedit-5.0-12.fc39.x86_64 diffutils-3.10-3.fc39.x86_64 dwz-0.15-3.fc39.x86_64 ed-1.19-4.fc39.x86_64 efi-srpm-macros-5-9.fc39.noarch elfutils-0.190-4.fc39.x86_64 elfutils-debuginfod-client-0.190-4.fc39.x86_64 elfutils-default-yama-scope-0.190-4.fc39.noarch elfutils-libelf-0.190-4.fc39.x86_64 elfutils-libs-0.190-4.fc39.x86_64 fedora-gpg-keys-39-1.noarch fedora-release-39-34.noarch fedora-release-common-39-34.noarch fedora-release-identity-basic-39-34.noarch fedora-repos-39-1.noarch file-5.44-5.fc39.x86_64 file-libs-5.44-5.fc39.x86_64 filesystem-3.18-6.fc39.x86_64 findutils-4.9.0-5.fc39.x86_64 fonts-srpm-macros-2.0.5-12.fc39.noarch fpc-srpm-macros-1.3-8.fc39.noarch gawk-5.2.2-2.fc39.x86_64 gdb-minimal-14.1-2.fc39.x86_64 gdbm-libs-1.23-4.fc39.x86_64 ghc-srpm-macros-1.6.1-2.fc39.noarch glibc-2.38-16.fc39.x86_64 glibc-common-2.38-16.fc39.x86_64 glibc-gconv-extra-2.38-16.fc39.x86_64 glibc-minimal-langpack-2.38-16.fc39.x86_64 gmp-6.2.1-5.fc39.x86_64 gnat-srpm-macros-6-3.fc39.noarch go-srpm-macros-3.3.1-1.fc39.noarch gpg-pubkey-18b8e74c-62f2920f grep-3.11-3.fc39.x86_64 gzip-1.12-6.fc39.x86_64 info-7.0.3-3.fc39.x86_64 jansson-2.13.1-7.fc39.x86_64 kernel-srpm-macros-1.0-20.fc39.noarch keyutils-libs-1.6.1-7.fc39.x86_64 krb5-libs-1.21.2-3.fc39.x86_64 libacl-2.3.1-9.fc39.x86_64 libarchive-3.7.1-1.fc39.x86_64 libattr-2.5.1-8.fc39.x86_64 libblkid-2.39.3-4.fc39.x86_64 libbrotli-1.1.0-1.fc39.x86_64 libcap-2.48-9.fc39.x86_64 libcap-ng-0.8.3-8.fc39.x86_64 libcom_err-1.47.0-2.fc39.x86_64 libcurl-8.2.1-4.fc39.x86_64 libdb-5.3.28-56.fc39.x86_64 libeconf-0.5.2-1.fc39.x86_64 libevent-2.1.12-9.fc39.x86_64 libfdisk-2.39.3-4.fc39.x86_64 libffi-3.4.4-4.fc39.x86_64 libgcc-13.2.1-6.fc39.x86_64 libgomp-13.2.1-6.fc39.x86_64 libidn2-2.3.7-1.fc39.x86_64 libmount-2.39.3-4.fc39.x86_64 libnghttp2-1.55.1-4.fc39.x86_64 libnsl2-2.0.0-6.fc39.x86_64 libpkgconf-1.9.5-2.fc39.x86_64 libpsl-0.21.2-4.fc39.x86_64 libpwquality-1.4.5-6.fc39.x86_64 libselinux-3.5-5.fc39.x86_64 libsemanage-3.5-4.fc39.x86_64 libsepol-3.5-2.fc39.x86_64 libsigsegv-2.14-5.fc39.x86_64 libsmartcols-2.39.3-4.fc39.x86_64 libssh-0.10.6-2.fc39.x86_64 libssh-config-0.10.6-2.fc39.noarch libstdc++-13.2.1-6.fc39.x86_64 libtasn1-4.19.0-3.fc39.x86_64 libtirpc-1.3.4-0.rc2.fc39.x86_64 libunistring-1.1-5.fc39.x86_64 libutempter-1.2.1-10.fc39.x86_64 libuuid-2.39.3-4.fc39.x86_64 libverto-0.3.2-6.fc39.x86_64 libxcrypt-4.4.36-2.fc39.x86_64 libxml2-2.10.4-3.fc39.x86_64 libzstd-1.5.5-4.fc39.x86_64 lua-libs-5.4.6-3.fc39.x86_64 lua-srpm-macros-1-9.fc39.noarch lz4-libs-1.9.4-4.fc39.x86_64 mpfr-4.2.0-3.fc39.x86_64 ncurses-base-6.4-7.20230520.fc39.noarch ncurses-libs-6.4-7.20230520.fc39.x86_64 ocaml-srpm-macros-8-2.fc39.noarch openblas-srpm-macros-2-14.fc39.noarch openldap-2.6.6-1.fc39.x86_64 openssl-libs-3.1.1-4.fc39.x86_64 p11-kit-0.25.3-1.fc39.x86_64 p11-kit-trust-0.25.3-1.fc39.x86_64 package-notes-srpm-macros-0.5-9.fc39.noarch pam-1.5.3-3.fc39.x86_64 pam-libs-1.5.3-3.fc39.x86_64 patch-2.7.6-22.fc39.x86_64 pcre2-10.42-1.fc39.2.x86_64 pcre2-syntax-10.42-1.fc39.2.noarch perl-srpm-macros-1-51.fc39.noarch pkgconf-1.9.5-2.fc39.x86_64 pkgconf-m4-1.9.5-2.fc39.noarch pkgconf-pkg-config-1.9.5-2.fc39.x86_64 popt-1.19-3.fc39.x86_64 publicsuffix-list-dafsa-20240107-1.fc39.noarch pyproject-srpm-macros-1.12.0-1.fc39.noarch python-srpm-macros-3.12-4.fc39.noarch qt5-srpm-macros-5.15.12-1.fc39.noarch qt6-srpm-macros-6.6.0-1.fc39.noarch readline-8.2-6.fc39.x86_64 redhat-rpm-config-262-1.fc39.noarch rpm-4.19.1-1.fc39.x86_64 rpm-build-4.19.1-1.fc39.x86_64 rpm-build-libs-4.19.1-1.fc39.x86_64 rpm-libs-4.19.1-1.fc39.x86_64 rpm-sequoia-1.6.0-1.fc39.x86_64 rpmautospec-rpm-macros-0.6.0-2.fc39.noarch rust-srpm-macros-25.2-2.fc39.noarch sed-4.8-14.fc39.x86_64 setup-2.14.4-1.fc39.noarch shadow-utils-4.14.0-2.fc39.x86_64 sqlite-libs-3.42.0-7.fc39.x86_64 systemd-libs-254.8-2.fc39.x86_64 tar-1.35-2.fc39.x86_64 unzip-6.0-62.fc39.x86_64 util-linux-2.39.3-4.fc39.x86_64 util-linux-core-2.39.3-4.fc39.x86_64 which-2.21-40.fc39.x86_64 xxhash-libs-0.8.2-1.fc39.x86_64 xz-5.4.4-1.fc39.x86_64 xz-libs-5.4.4-1.fc39.x86_64 zip-3.0-39.fc39.x86_64 zlib-1.2.13-4.fc39.x86_64 zstd-1.5.5-4.fc39.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.fc39.src.rpm Finish: rpmbuild -bs INFO: chroot_scan: 3 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-39-x86_64-1706806975.123712/root/var/log/dnf.rpm.log /var/lib/mock/fedora-39-x86_64-1706806975.123712/root/var/log/dnf.librepo.log /var/lib/mock/fedora-39-x86_64-1706806975.123712/root/var/log/dnf.log Finish: buildsrpm INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-l6xux_dx/aida-x/aidax.spec) Config(child) 1 minutes 55 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.fc39.src.rpm) Config(fedora-39-x86_64) Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-39-x86_64-bootstrap-1706806975.123712/root. INFO: reusing tmpfs at /var/lib/mock/fedora-39-x86_64-bootstrap-1706806975.123712/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-39-x86_64-1706806975.123712/root. INFO: calling preinit hooks INFO: enabled root cache Start: unpacking root cache Finish: unpacking root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Buildroot is handled by package management downloaded with a bootstrap image: rpm-4.19.0-1.fc39.x86_64 rpm-sequoia-1.5.0-1.fc39.x86_64 python3-dnf-4.18.2-1.fc39.noarch python3-dnf-plugins-core-4.4.4-1.fc39.noarch yum-4.18.2-1.fc39.noarch Finish: chroot init Start: build phase for aida-x-1.1.0-1.fc39.src.rpm Start: build setup for aida-x-1.1.0-1.fc39.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.fc39.src.rpm No matches found for the following disable plugin patterns: local, spacewalk, versionlock Copr repository 44 kB/s | 1.5 kB 00:00 Additional repo https_download1_rpmfusion_org_f 14 kB/s | 3.7 kB 00:00 Additional repo https_codecs_fedoraproject_org_ 12 kB/s | 2.3 kB 00:00 fedora 584 kB/s | 24 kB 00:00 updates 670 kB/s | 21 kB 00:00 Dependencies resolved. ================================================================================ Package Arch Version Repository Size ================================================================================ Installing: SDL2-devel x86_64 2.28.5-1.fc39 updates 395 k alsa-lib-devel x86_64 1.2.10-3.fc39 fedora 900 k cmake x86_64 3.27.7-1.fc39 fedora 8.0 M dbus-devel x86_64 1:1.14.10-1.fc39 fedora 40 k fftw-devel x86_64 3.3.10-7.fc39 fedora 134 k gcc x86_64 13.2.1-6.fc39 updates 34 M gcc-c++ x86_64 13.2.1-6.fc39 updates 13 M liblo-devel x86_64 0.31-10.fc39 fedora 225 k lv2-devel x86_64 1.18.8-6.fc39 fedora 131 k mesa-libGL-devel x86_64 23.3.4-1.fc39 updates 36 k pulseaudio-libs-devel x86_64 16.1-5.fc39 fedora 454 k Installing dependencies: SDL2 x86_64 2.28.5-1.fc39 updates 692 k abattis-cantarell-vf-fonts noarch 0.301-10.fc39 fedora 121 k adwaita-cursor-theme noarch 45.0-1.fc39 fedora 678 k adwaita-icon-theme noarch 45.0-1.fc39 fedora 407 k alsa-lib x86_64 1.2.10-3.fc39 fedora 522 k annobin-docs noarch 12.38-1.fc39 updates 88 k annobin-plugin-gcc x86_64 12.38-1.fc39 updates 956 k at-spi2-atk x86_64 2.50.1-1.fc39 updates 86 k at-spi2-core x86_64 2.50.1-1.fc39 updates 371 k atk x86_64 2.50.1-1.fc39 updates 81 k avahi-libs x86_64 0.8-24.fc39 fedora 67 k cairo x86_64 1.18.0-1.fc39 fedora 710 k cairo-gobject x86_64 1.18.0-1.fc39 fedora 19 k cmake-data noarch 3.27.7-1.fc39 fedora 2.2 M cmake-filesystem x86_64 3.27.7-1.fc39 fedora 19 k cmake-rpm-macros noarch 3.27.7-1.fc39 fedora 18 k colord-libs x86_64 1.4.6-6.fc39 fedora 233 k cpp x86_64 13.2.1-6.fc39 updates 11 M cups-libs x86_64 1:2.4.7-5.fc39 updates 268 k dbus x86_64 1:1.14.10-1.fc39 fedora 8.1 k dbus-broker x86_64 35-2.fc39 updates 176 k dbus-common noarch 1:1.14.10-1.fc39 fedora 15 k dbus-libs x86_64 1:1.14.10-1.fc39 fedora 156 k default-fonts-core-sans noarch 4.0-9.fc39 fedora 32 k emacs-filesystem noarch 1:29.2-2.fc39 updates 7.1 k expat x86_64 2.5.0-3.fc39 fedora 110 k fftw x86_64 3.3.10-7.fc39 fedora 45 k fftw-libs x86_64 3.3.10-7.fc39 fedora 7.6 k fftw-libs-double x86_64 3.3.10-7.fc39 fedora 1.2 M fftw-libs-long x86_64 3.3.10-7.fc39 fedora 505 k fftw-libs-quad x86_64 3.3.10-7.fc39 fedora 739 k fftw-libs-single x86_64 3.3.10-7.fc39 fedora 1.2 M flac-libs x86_64 1.4.3-2.fc39 fedora 264 k fontconfig x86_64 2.14.2-5.fc39 fedora 297 k fonts-filesystem noarch 1:2.0.5-12.fc39 fedora 8.2 k freetype x86_64 2.13.1-2.fc39 fedora 414 k fribidi x86_64 1.0.13-2.fc39 fedora 91 k gc x86_64 8.2.2-4.fc39 fedora 110 k gcc-plugin-annobin x86_64 13.2.1-6.fc39 updates 50 k gdk-pixbuf2 x86_64 2.42.10-5.fc39 fedora 484 k gdk-pixbuf2-modules x86_64 2.42.10-5.fc39 fedora 85 k glib2 x86_64 2.78.3-1.fc39 updates 2.8 M glib2-devel x86_64 2.78.3-1.fc39 updates 596 k glibc-devel x86_64 2.38-16.fc39 updates 85 k glibc-headers-x86 noarch 2.38-16.fc39 updates 569 k gnutls x86_64 3.8.3-1.fc39 updates 1.1 M google-noto-fonts-common noarch 20230801-4.fc39 updates 17 k google-noto-sans-vf-fonts noarch 20230801-4.fc39 updates 583 k graphite2 x86_64 1.3.14-12.fc39 fedora 95 k gsm x86_64 1.0.22-3.fc39 fedora 35 k gtk-update-icon-cache x86_64 3.24.41-1.fc39 updates 34 k gtk3 x86_64 3.24.41-1.fc39 updates 5.6 M guile22 x86_64 2.2.7-9.fc39 fedora 6.5 M harfbuzz x86_64 8.2.1-2.fc39 fedora 975 k hicolor-icon-theme noarch 0.17-16.fc39 fedora 66 k hwdata noarch 0.378-1.fc39 updates 1.6 M jbigkit-libs x86_64 2.1-26.fc39 fedora 53 k json-glib x86_64 1.8.0-1.fc39 fedora 166 k jsoncpp x86_64 1.9.5-5.fc39 fedora 99 k kernel-headers x86_64 6.6.3-200.fc39 updates 1.6 M lame-libs x86_64 3.100-15.fc39 fedora 337 k lcms2 x86_64 2.15-2.fc39 fedora 177 k libX11 x86_64 1.8.7-1.fc39 fedora 650 k libX11-common noarch 1.8.7-1.fc39 fedora 176 k libX11-devel x86_64 1.8.7-1.fc39 fedora 1.0 M libX11-xcb x86_64 1.8.7-1.fc39 fedora 12 k libXau x86_64 1.0.11-3.fc39 fedora 31 k libXau-devel x86_64 1.0.11-3.fc39 fedora 14 k libXcomposite x86_64 0.4.5-10.fc39 fedora 23 k libXcursor x86_64 1.2.1-4.fc39 fedora 30 k libXdamage x86_64 1.1.5-10.fc39 fedora 22 k libXext x86_64 1.3.5-3.fc39 fedora 39 k libXfixes x86_64 6.0.0-6.fc39 fedora 19 k libXft x86_64 2.3.8-3.fc39 fedora 72 k libXi x86_64 1.8.1-2.fc39 fedora 40 k libXinerama x86_64 1.1.5-3.fc39 fedora 14 k libXrandr x86_64 1.5.4-1.fc39 updates 27 k libXrender x86_64 0.9.11-3.fc39 fedora 27 k libXtst x86_64 1.2.4-3.fc39 fedora 20 k libXxf86vm x86_64 1.1.5-3.fc39 fedora 18 k libasyncns x86_64 0.8-25.fc39 fedora 30 k libb2 x86_64 0.98.1-9.fc39 fedora 25 k libblkid-devel x86_64 2.39.3-4.fc39 updates 18 k libcloudproviders x86_64 0.3.5-1.fc39 updates 46 k libdatrie x86_64 0.2.13-7.fc39 fedora 32 k libdecor x86_64 0.2.2-1.fc39 updates 59 k libdrm x86_64 2.4.120-1.fc39 updates 157 k libdrm-devel x86_64 2.4.120-1.fc39 updates 179 k libepoxy x86_64 1.5.10-4.fc39 fedora 234 k libffi-devel x86_64 3.4.4-4.fc39 fedora 29 k libglvnd x86_64 1:1.7.0-1.fc39 fedora 133 k libglvnd-core-devel x86_64 1:1.7.0-1.fc39 fedora 17 k libglvnd-devel x86_64 1:1.7.0-1.fc39 fedora 162 k libglvnd-egl x86_64 1:1.7.0-1.fc39 fedora 36 k libglvnd-gles x86_64 1:1.7.0-1.fc39 fedora 31 k libglvnd-glx x86_64 1:1.7.0-1.fc39 fedora 142 k libglvnd-opengl x86_64 1:1.7.0-1.fc39 fedora 42 k libgusb x86_64 0.4.8-1.fc39 updates 65 k libicu x86_64 73.2-2.fc39 fedora 11 M libjpeg-turbo x86_64 2.1.4-3.fc39 fedora 183 k liblerc x86_64 4.0.0-4.fc39 fedora 201 k liblo x86_64 0.31-10.fc39 fedora 68 k libmount-devel x86_64 2.39.3-4.fc39 updates 18 k libmpc x86_64 1.3.1-3.fc39 fedora 70 k libogg x86_64 2:1.3.5-6.fc39 fedora 33 k libpciaccess x86_64 0.16-9.fc39 fedora 26 k libpciaccess-devel x86_64 0.16-9.fc39 fedora 12 k libpng x86_64 2:1.6.37-15.fc39 fedora 119 k libquadmath x86_64 13.2.1-6.fc39 updates 197 k libselinux-devel x86_64 3.5-5.fc39 fedora 151 k libsepol-devel x86_64 3.5-2.fc39 fedora 49 k libsndfile x86_64 1.1.0-9.fc39 fedora 215 k libsoup3 x86_64 3.4.4-1.fc39 updates 389 k libstdc++-devel x86_64 13.2.1-6.fc39 updates 2.6 M libstemmer x86_64 2.2.0-7.fc39 fedora 171 k libthai x86_64 0.1.29-6.fc39 fedora 213 k libtiff x86_64 4.4.0-8.fc39 fedora 202 k libtool-ltdl x86_64 2.4.7-7.fc39 fedora 36 k libtracker-sparql x86_64 3.6.0-1.fc39 fedora 374 k libusb1 x86_64 1.0.26-3.fc39 fedora 74 k libuv x86_64 1:1.47.0-3.fc39 updates 250 k libvorbis x86_64 1:1.3.7-8.fc39 fedora 195 k libwayland-client x86_64 1.22.0-2.fc39 fedora 34 k libwayland-cursor x86_64 1.22.0-2.fc39 fedora 19 k libwayland-egl x86_64 1.22.0-2.fc39 fedora 13 k libwayland-server x86_64 1.22.0-2.fc39 fedora 42 k libwebp x86_64 1.3.2-2.fc39 fedora 284 k libxcb x86_64 1.13.1-12.fc39 fedora 233 k libxcb-devel x86_64 1.13.1-12.fc39 fedora 1.4 M libxcrypt-devel x86_64 4.4.36-2.fc39 fedora 30 k libxkbcommon x86_64 1.6.0-1.fc39 updates 142 k libxshmfence x86_64 1.3-13.fc39 fedora 12 k lv2 x86_64 1.18.8-6.fc39 fedora 105 k make x86_64 1:4.4.1-2.fc39 fedora 589 k mesa-libEGL x86_64 23.3.4-1.fc39 updates 134 k mesa-libEGL-devel x86_64 23.3.4-1.fc39 updates 22 k mesa-libGL x86_64 23.3.4-1.fc39 updates 176 k mesa-libgbm x86_64 23.3.4-1.fc39 updates 46 k mesa-libglapi x86_64 23.3.4-1.fc39 updates 53 k mpdecimal x86_64 2.5.1-7.fc39 fedora 89 k mpg123-libs x86_64 1.31.3-2.fc39 fedora 340 k nettle x86_64 3.9.1-2.fc39 fedora 425 k opus x86_64 1.3.1-13.fc39 fedora 205 k pango x86_64 1.51.0-1.fc39 fedora 343 k pcre2-devel x86_64 10.42-1.fc39.2 fedora 505 k pcre2-utf16 x86_64 10.42-1.fc39.2 fedora 212 k pcre2-utf32 x86_64 10.42-1.fc39.2 fedora 200 k pixman x86_64 0.42.2-2.fc39 fedora 288 k pulseaudio-libs x86_64 16.1-5.fc39 fedora 694 k pulseaudio-libs-glib2 x86_64 16.1-5.fc39 fedora 16 k python-pip-wheel noarch 23.2.1-1.fc39 fedora 1.5 M python3 x86_64 3.12.1-2.fc39 updates 26 k python3-isodate noarch 0.6.1-9.fc39 fedora 77 k python3-libs x86_64 3.12.1-2.fc39 updates 9.2 M python3-markdown noarch 3.5.1-1.fc39 updates 199 k python3-pyparsing noarch 3.0.9-11.fc39 fedora 254 k python3-rdflib noarch 6.2.0-4.fc39 fedora 940 k python3-setuptools noarch 67.7.2-7.fc39 fedora 1.5 M python3-six noarch 1.16.0-12.fc39 fedora 41 k rhash x86_64 1.4.3-3.fc39 fedora 194 k shared-mime-info x86_64 2.2-4.fc39 fedora 380 k sysprof-capture-devel x86_64 45.1-1.fc39 updates 59 k tzdata noarch 2023d-1.fc39 updates 718 k vim-filesystem noarch 2:9.1.031-1.fc39 updates 17 k xkeyboard-config noarch 2.40-1.fc39 updates 971 k xml-common noarch 0.6.3-61.fc39 fedora 31 k xorg-x11-proto-devel noarch 2023.2-2.fc39 fedora 298 k xprop x86_64 1.2.5-4.fc39 fedora 35 k zlib-devel x86_64 1.2.13-4.fc39 fedora 45 k Transaction Summary ================================================================================ Install 180 Packages Total download size: 147 M Installed size: 555 M Downloading Packages: (1/180): abattis-cantarell-vf-fonts-0.301-10.fc 423 kB/s | 121 kB 00:00 (2/180): adwaita-icon-theme-45.0-1.fc39.noarch. 965 kB/s | 407 kB 00:00 (3/180): adwaita-cursor-theme-45.0-1.fc39.noarc 1.0 MB/s | 678 kB 00:00 (4/180): avahi-libs-0.8-24.fc39.x86_64.rpm 372 kB/s | 67 kB 00:00 (5/180): alsa-lib-1.2.10-3.fc39.x86_64.rpm 851 kB/s | 522 kB 00:00 (6/180): cairo-gobject-1.18.0-1.fc39.x86_64.rpm 175 kB/s | 19 kB 00:00 (7/180): alsa-lib-devel-1.2.10-3.fc39.x86_64.rp 1.1 MB/s | 900 kB 00:00 (8/180): cairo-1.18.0-1.fc39.x86_64.rpm 860 kB/s | 710 kB 00:00 (9/180): cmake-filesystem-3.27.7-1.fc39.x86_64. 137 kB/s | 19 kB 00:00 (10/180): cmake-rpm-macros-3.27.7-1.fc39.noarch 87 kB/s | 18 kB 00:00 (11/180): cmake-data-3.27.7-1.fc39.noarch.rpm 2.3 MB/s | 2.2 MB 00:00 (12/180): dbus-1.14.10-1.fc39.x86_64.rpm 25 kB/s | 8.1 kB 00:00 (13/180): colord-libs-1.4.6-6.fc39.x86_64.rpm 346 kB/s | 233 kB 00:00 (14/180): dbus-common-1.14.10-1.fc39.noarch.rpm 39 kB/s | 15 kB 00:00 (15/180): dbus-devel-1.14.10-1.fc39.x86_64.rpm 78 kB/s | 40 kB 00:00 (16/180): cmake-3.27.7-1.fc39.x86_64.rpm 3.5 MB/s | 8.0 MB 00:02 (17/180): default-fonts-core-sans-4.0-9.fc39.no 66 kB/s | 32 kB 00:00 (18/180): dbus-libs-1.14.10-1.fc39.x86_64.rpm 179 kB/s | 156 kB 00:00 (19/180): expat-2.5.0-3.fc39.x86_64.rpm 183 kB/s | 110 kB 00:00 (20/180): fftw-3.3.10-7.fc39.x86_64.rpm 78 kB/s | 45 kB 00:00 (21/180): fftw-libs-3.3.10-7.fc39.x86_64.rpm 17 kB/s | 7.6 kB 00:00 (22/180): fftw-devel-3.3.10-7.fc39.x86_64.rpm 212 kB/s | 134 kB 00:00 (23/180): fftw-libs-long-3.3.10-7.fc39.x86_64.r 299 kB/s | 505 kB 00:01 (24/180): fftw-libs-single-3.3.10-7.fc39.x86_64 654 kB/s | 1.2 MB 00:01 (25/180): fftw-libs-quad-3.3.10-7.fc39.x86_64.r 204 kB/s | 739 kB 00:03 (26/180): fontconfig-2.14.2-5.fc39.x86_64.rpm 328 kB/s | 297 kB 00:00 (27/180): flac-libs-1.4.3-2.fc39.x86_64.rpm 246 kB/s | 264 kB 00:01 (28/180): fonts-filesystem-2.0.5-12.fc39.noarch 26 kB/s | 8.2 kB 00:00 (29/180): fribidi-1.0.13-2.fc39.x86_64.rpm 139 kB/s | 91 kB 00:00 (30/180): freetype-2.13.1-2.fc39.x86_64.rpm 322 kB/s | 414 kB 00:01 (31/180): gc-8.2.2-4.fc39.x86_64.rpm 125 kB/s | 110 kB 00:00 (32/180): gdk-pixbuf2-modules-2.42.10-5.fc39.x8 197 kB/s | 85 kB 00:00 (33/180): fftw-libs-double-3.3.10-7.fc39.x86_64 168 kB/s | 1.2 MB 00:07 (34/180): gsm-1.0.22-3.fc39.x86_64.rpm 166 kB/s | 35 kB 00:00 (35/180): graphite2-1.3.14-12.fc39.x86_64.rpm 240 kB/s | 95 kB 00:00 (36/180): gdk-pixbuf2-2.42.10-5.fc39.x86_64.rpm 312 kB/s | 484 kB 00:01 (37/180): hicolor-icon-theme-0.17-16.fc39.noarc 214 kB/s | 66 kB 00:00 (38/180): jbigkit-libs-2.1-26.fc39.x86_64.rpm 223 kB/s | 53 kB 00:00 (39/180): harfbuzz-8.2.1-2.fc39.x86_64.rpm 637 kB/s | 975 kB 00:01 (40/180): json-glib-1.8.0-1.fc39.x86_64.rpm 172 kB/s | 166 kB 00:00 (41/180): jsoncpp-1.9.5-5.fc39.x86_64.rpm 385 kB/s | 99 kB 00:00 (42/180): lcms2-2.15-2.fc39.x86_64.rpm 416 kB/s | 177 kB 00:00 (43/180): lame-libs-3.100-15.fc39.x86_64.rpm 472 kB/s | 337 kB 00:00 (44/180): libX11-common-1.8.7-1.fc39.noarch.rpm 227 kB/s | 176 kB 00:00 (45/180): libX11-1.8.7-1.fc39.x86_64.rpm 554 kB/s | 650 kB 00:01 (46/180): libX11-xcb-1.8.7-1.fc39.x86_64.rpm 42 kB/s | 12 kB 00:00 (47/180): libXau-1.0.11-3.fc39.x86_64.rpm 99 kB/s | 31 kB 00:00 (48/180): libXau-devel-1.0.11-3.fc39.x86_64.rpm 44 kB/s | 14 kB 00:00 (49/180): libXcomposite-0.4.5-10.fc39.x86_64.rp 60 kB/s | 23 kB 00:00 (50/180): libX11-devel-1.8.7-1.fc39.x86_64.rpm 645 kB/s | 1.0 MB 00:01 (51/180): libXcursor-1.2.1-4.fc39.x86_64.rpm 76 kB/s | 30 kB 00:00 (52/180): libXdamage-1.1.5-10.fc39.x86_64.rpm 57 kB/s | 22 kB 00:00 (53/180): libXext-1.3.5-3.fc39.x86_64.rpm 103 kB/s | 39 kB 00:00 (54/180): libXfixes-6.0.0-6.fc39.x86_64.rpm 50 kB/s | 19 kB 00:00 (55/180): libXft-2.3.8-3.fc39.x86_64.rpm 151 kB/s | 72 kB 00:00 (56/180): libXi-1.8.1-2.fc39.x86_64.rpm 81 kB/s | 40 kB 00:00 (57/180): libXinerama-1.1.5-3.fc39.x86_64.rpm 41 kB/s | 14 kB 00:00 (58/180): libXrender-0.9.11-3.fc39.x86_64.rpm 73 kB/s | 27 kB 00:00 (59/180): libXtst-1.2.4-3.fc39.x86_64.rpm 49 kB/s | 20 kB 00:00 (60/180): guile22-2.2.7-9.fc39.x86_64.rpm 980 kB/s | 6.5 MB 00:06 (61/180): libXxf86vm-1.1.5-3.fc39.x86_64.rpm 48 kB/s | 18 kB 00:00 (62/180): 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127/180 Installing : libglvnd-devel-1:1.7.0-1.fc39.x86_64 128/180 Installing : mesa-libEGL-devel-23.3.4-1.fc39.x86_64 129/180 Installing : libXcomposite-0.4.5-10.fc39.x86_64 130/180 Installing : xprop-1.2.5-4.fc39.x86_64 131/180 Installing : lcms2-2.15-2.fc39.x86_64 132/180 Installing : colord-libs-1.4.6-6.fc39.x86_64 133/180 Installing : lame-libs-3.100-15.fc39.x86_64 134/180 Installing : jsoncpp-1.9.5-5.fc39.x86_64 135/180 Installing : jbigkit-libs-2.1-26.fc39.x86_64 136/180 Installing : libtiff-4.4.0-8.fc39.x86_64 137/180 Installing : gdk-pixbuf2-modules-2.42.10-5.fc39.x86_64 138/180 Installing : hicolor-icon-theme-0.17-16.fc39.noarch 139/180 Installing : gsm-1.0.22-3.fc39.x86_64 140/180 Installing : libsndfile-1.1.0-9.fc39.x86_64 141/180 Installing : pulseaudio-libs-16.1-5.fc39.x86_64 142/180 Installing : pulseaudio-libs-glib2-16.1-5.fc39.x86_64 143/180 Installing : graphite2-1.3.14-12.fc39.x86_64 144/180 Installing : cairo-1.18.0-1.fc39.x86_64 145/180 Installing : 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dbus-1:1.14.10-1.fc39.x86_64 160/180 Installing : at-spi2-core-2.50.1-1.fc39.x86_64 161/180 Installing : atk-2.50.1-1.fc39.x86_64 162/180 Installing : at-spi2-atk-2.50.1-1.fc39.x86_64 163/180 Installing : alsa-lib-1.2.10-3.fc39.x86_64 164/180 Installing : adwaita-cursor-theme-45.0-1.fc39.noarch 165/180 Installing : adwaita-icon-theme-45.0-1.fc39.noarch 166/180 Installing : gtk3-3.24.41-1.fc39.x86_64 167/180 Installing : libdecor-0.2.2-1.fc39.x86_64 168/180 Installing : SDL2-2.28.5-1.fc39.x86_64 169/180 Installing : SDL2-devel-2.28.5-1.fc39.x86_64 170/180 Installing : alsa-lib-devel-1.2.10-3.fc39.x86_64 171/180 Installing : annobin-plugin-gcc-12.38-1.fc39.x86_64 172/180 Running scriptlet: annobin-plugin-gcc-12.38-1.fc39.x86_64 172/180 Installing : gcc-c++-13.2.1-6.fc39.x86_64 173/180 Installing : gcc-plugin-annobin-13.2.1-6.fc39.x86_64 174/180 Running scriptlet: gcc-plugin-annobin-13.2.1-6.fc39.x86_64 174/180 Installing : pulseaudio-libs-devel-16.1-5.fc39.x86_64 175/180 Installing : mesa-libGL-devel-23.3.4-1.fc39.x86_64 176/180 Installing : lv2-devel-1.18.8-6.fc39.x86_64 177/180 Installing : liblo-devel-0.31-10.fc39.x86_64 178/180 Installing : fftw-devel-3.3.10-7.fc39.x86_64 179/180 Installing : dbus-devel-1:1.14.10-1.fc39.x86_64 180/180 Running scriptlet: fontconfig-2.14.2-5.fc39.x86_64 180/180 Running scriptlet: dbus-devel-1:1.14.10-1.fc39.x86_64 180/180 Verifying : abattis-cantarell-vf-fonts-0.301-10.fc39.noarch 1/180 Verifying : adwaita-cursor-theme-45.0-1.fc39.noarch 2/180 Verifying : adwaita-icon-theme-45.0-1.fc39.noarch 3/180 Verifying : alsa-lib-1.2.10-3.fc39.x86_64 4/180 Verifying : alsa-lib-devel-1.2.10-3.fc39.x86_64 5/180 Verifying : avahi-libs-0.8-24.fc39.x86_64 6/180 Verifying : cairo-1.18.0-1.fc39.x86_64 7/180 Verifying : cairo-gobject-1.18.0-1.fc39.x86_64 8/180 Verifying : cmake-3.27.7-1.fc39.x86_64 9/180 Verifying : cmake-data-3.27.7-1.fc39.noarch 10/180 Verifying : cmake-filesystem-3.27.7-1.fc39.x86_64 11/180 Verifying : cmake-rpm-macros-3.27.7-1.fc39.noarch 12/180 Verifying : colord-libs-1.4.6-6.fc39.x86_64 13/180 Verifying : dbus-1:1.14.10-1.fc39.x86_64 14/180 Verifying : dbus-common-1:1.14.10-1.fc39.noarch 15/180 Verifying : dbus-devel-1:1.14.10-1.fc39.x86_64 16/180 Verifying : dbus-libs-1:1.14.10-1.fc39.x86_64 17/180 Verifying : default-fonts-core-sans-4.0-9.fc39.noarch 18/180 Verifying : expat-2.5.0-3.fc39.x86_64 19/180 Verifying : fftw-3.3.10-7.fc39.x86_64 20/180 Verifying : fftw-devel-3.3.10-7.fc39.x86_64 21/180 Verifying : fftw-libs-3.3.10-7.fc39.x86_64 22/180 Verifying : fftw-libs-double-3.3.10-7.fc39.x86_64 23/180 Verifying : fftw-libs-long-3.3.10-7.fc39.x86_64 24/180 Verifying : fftw-libs-quad-3.3.10-7.fc39.x86_64 25/180 Verifying : fftw-libs-single-3.3.10-7.fc39.x86_64 26/180 Verifying : flac-libs-1.4.3-2.fc39.x86_64 27/180 Verifying : fontconfig-2.14.2-5.fc39.x86_64 28/180 Verifying : fonts-filesystem-1:2.0.5-12.fc39.noarch 29/180 Verifying : freetype-2.13.1-2.fc39.x86_64 30/180 Verifying : fribidi-1.0.13-2.fc39.x86_64 31/180 Verifying : gc-8.2.2-4.fc39.x86_64 32/180 Verifying : gdk-pixbuf2-2.42.10-5.fc39.x86_64 33/180 Verifying : gdk-pixbuf2-modules-2.42.10-5.fc39.x86_64 34/180 Verifying : graphite2-1.3.14-12.fc39.x86_64 35/180 Verifying : gsm-1.0.22-3.fc39.x86_64 36/180 Verifying : guile22-2.2.7-9.fc39.x86_64 37/180 Verifying : harfbuzz-8.2.1-2.fc39.x86_64 38/180 Verifying : hicolor-icon-theme-0.17-16.fc39.noarch 39/180 Verifying : jbigkit-libs-2.1-26.fc39.x86_64 40/180 Verifying : json-glib-1.8.0-1.fc39.x86_64 41/180 Verifying : jsoncpp-1.9.5-5.fc39.x86_64 42/180 Verifying : lame-libs-3.100-15.fc39.x86_64 43/180 Verifying : lcms2-2.15-2.fc39.x86_64 44/180 Verifying : libX11-1.8.7-1.fc39.x86_64 45/180 Verifying : libX11-common-1.8.7-1.fc39.noarch 46/180 Verifying : libX11-devel-1.8.7-1.fc39.x86_64 47/180 Verifying : libX11-xcb-1.8.7-1.fc39.x86_64 48/180 Verifying : libXau-1.0.11-3.fc39.x86_64 49/180 Verifying : libXau-devel-1.0.11-3.fc39.x86_64 50/180 Verifying : libXcomposite-0.4.5-10.fc39.x86_64 51/180 Verifying : libXcursor-1.2.1-4.fc39.x86_64 52/180 Verifying : libXdamage-1.1.5-10.fc39.x86_64 53/180 Verifying : libXext-1.3.5-3.fc39.x86_64 54/180 Verifying : libXfixes-6.0.0-6.fc39.x86_64 55/180 Verifying : libXft-2.3.8-3.fc39.x86_64 56/180 Verifying : libXi-1.8.1-2.fc39.x86_64 57/180 Verifying : libXinerama-1.1.5-3.fc39.x86_64 58/180 Verifying : libXrender-0.9.11-3.fc39.x86_64 59/180 Verifying : libXtst-1.2.4-3.fc39.x86_64 60/180 Verifying : libXxf86vm-1.1.5-3.fc39.x86_64 61/180 Verifying : libasyncns-0.8-25.fc39.x86_64 62/180 Verifying : libb2-0.98.1-9.fc39.x86_64 63/180 Verifying : libdatrie-0.2.13-7.fc39.x86_64 64/180 Verifying : libepoxy-1.5.10-4.fc39.x86_64 65/180 Verifying : libffi-devel-3.4.4-4.fc39.x86_64 66/180 Verifying : libglvnd-1:1.7.0-1.fc39.x86_64 67/180 Verifying : libglvnd-core-devel-1:1.7.0-1.fc39.x86_64 68/180 Verifying : libglvnd-devel-1:1.7.0-1.fc39.x86_64 69/180 Verifying : libglvnd-egl-1:1.7.0-1.fc39.x86_64 70/180 Verifying : libglvnd-gles-1:1.7.0-1.fc39.x86_64 71/180 Verifying : libglvnd-glx-1:1.7.0-1.fc39.x86_64 72/180 Verifying : libglvnd-opengl-1:1.7.0-1.fc39.x86_64 73/180 Verifying : libicu-73.2-2.fc39.x86_64 74/180 Verifying : libjpeg-turbo-2.1.4-3.fc39.x86_64 75/180 Verifying : liblerc-4.0.0-4.fc39.x86_64 76/180 Verifying : liblo-0.31-10.fc39.x86_64 77/180 Verifying : liblo-devel-0.31-10.fc39.x86_64 78/180 Verifying : libmpc-1.3.1-3.fc39.x86_64 79/180 Verifying : libogg-2:1.3.5-6.fc39.x86_64 80/180 Verifying : libpciaccess-0.16-9.fc39.x86_64 81/180 Verifying : libpciaccess-devel-0.16-9.fc39.x86_64 82/180 Verifying : libpng-2:1.6.37-15.fc39.x86_64 83/180 Verifying : libselinux-devel-3.5-5.fc39.x86_64 84/180 Verifying : libsepol-devel-3.5-2.fc39.x86_64 85/180 Verifying : libsndfile-1.1.0-9.fc39.x86_64 86/180 Verifying : libstemmer-2.2.0-7.fc39.x86_64 87/180 Verifying : libthai-0.1.29-6.fc39.x86_64 88/180 Verifying : libtiff-4.4.0-8.fc39.x86_64 89/180 Verifying : libtool-ltdl-2.4.7-7.fc39.x86_64 90/180 Verifying : libtracker-sparql-3.6.0-1.fc39.x86_64 91/180 Verifying : libusb1-1.0.26-3.fc39.x86_64 92/180 Verifying : libvorbis-1:1.3.7-8.fc39.x86_64 93/180 Verifying : libwayland-client-1.22.0-2.fc39.x86_64 94/180 Verifying : libwayland-cursor-1.22.0-2.fc39.x86_64 95/180 Verifying : libwayland-egl-1.22.0-2.fc39.x86_64 96/180 Verifying : libwayland-server-1.22.0-2.fc39.x86_64 97/180 Verifying : libwebp-1.3.2-2.fc39.x86_64 98/180 Verifying : libxcb-1.13.1-12.fc39.x86_64 99/180 Verifying : libxcb-devel-1.13.1-12.fc39.x86_64 100/180 Verifying : libxcrypt-devel-4.4.36-2.fc39.x86_64 101/180 Verifying : libxshmfence-1.3-13.fc39.x86_64 102/180 Verifying : lv2-1.18.8-6.fc39.x86_64 103/180 Verifying : lv2-devel-1.18.8-6.fc39.x86_64 104/180 Verifying : make-1:4.4.1-2.fc39.x86_64 105/180 Verifying : mpdecimal-2.5.1-7.fc39.x86_64 106/180 Verifying : mpg123-libs-1.31.3-2.fc39.x86_64 107/180 Verifying : nettle-3.9.1-2.fc39.x86_64 108/180 Verifying : opus-1.3.1-13.fc39.x86_64 109/180 Verifying : pango-1.51.0-1.fc39.x86_64 110/180 Verifying : pcre2-devel-10.42-1.fc39.2.x86_64 111/180 Verifying : pcre2-utf16-10.42-1.fc39.2.x86_64 112/180 Verifying : pcre2-utf32-10.42-1.fc39.2.x86_64 113/180 Verifying : pixman-0.42.2-2.fc39.x86_64 114/180 Verifying : pulseaudio-libs-16.1-5.fc39.x86_64 115/180 Verifying : pulseaudio-libs-devel-16.1-5.fc39.x86_64 116/180 Verifying : pulseaudio-libs-glib2-16.1-5.fc39.x86_64 117/180 Verifying : python-pip-wheel-23.2.1-1.fc39.noarch 118/180 Verifying : python3-isodate-0.6.1-9.fc39.noarch 119/180 Verifying : python3-pyparsing-3.0.9-11.fc39.noarch 120/180 Verifying : python3-rdflib-6.2.0-4.fc39.noarch 121/180 Verifying : python3-setuptools-67.7.2-7.fc39.noarch 122/180 Verifying : python3-six-1.16.0-12.fc39.noarch 123/180 Verifying : rhash-1.4.3-3.fc39.x86_64 124/180 Verifying : shared-mime-info-2.2-4.fc39.x86_64 125/180 Verifying : xml-common-0.6.3-61.fc39.noarch 126/180 Verifying : xorg-x11-proto-devel-2023.2-2.fc39.noarch 127/180 Verifying : xprop-1.2.5-4.fc39.x86_64 128/180 Verifying : zlib-devel-1.2.13-4.fc39.x86_64 129/180 Verifying : SDL2-2.28.5-1.fc39.x86_64 130/180 Verifying : SDL2-devel-2.28.5-1.fc39.x86_64 131/180 Verifying : annobin-docs-12.38-1.fc39.noarch 132/180 Verifying : annobin-plugin-gcc-12.38-1.fc39.x86_64 133/180 Verifying : at-spi2-atk-2.50.1-1.fc39.x86_64 134/180 Verifying : at-spi2-core-2.50.1-1.fc39.x86_64 135/180 Verifying : atk-2.50.1-1.fc39.x86_64 136/180 Verifying : cpp-13.2.1-6.fc39.x86_64 137/180 Verifying : cups-libs-1:2.4.7-5.fc39.x86_64 138/180 Verifying : dbus-broker-35-2.fc39.x86_64 139/180 Verifying : emacs-filesystem-1:29.2-2.fc39.noarch 140/180 Verifying : gcc-13.2.1-6.fc39.x86_64 141/180 Verifying : gcc-c++-13.2.1-6.fc39.x86_64 142/180 Verifying : gcc-plugin-annobin-13.2.1-6.fc39.x86_64 143/180 Verifying : glib2-2.78.3-1.fc39.x86_64 144/180 Verifying : glib2-devel-2.78.3-1.fc39.x86_64 145/180 Verifying : glibc-devel-2.38-16.fc39.x86_64 146/180 Verifying : glibc-headers-x86-2.38-16.fc39.noarch 147/180 Verifying : gnutls-3.8.3-1.fc39.x86_64 148/180 Verifying : google-noto-fonts-common-20230801-4.fc39.noarch 149/180 Verifying : google-noto-sans-vf-fonts-20230801-4.fc39.noarch 150/180 Verifying : gtk-update-icon-cache-3.24.41-1.fc39.x86_64 151/180 Verifying : gtk3-3.24.41-1.fc39.x86_64 152/180 Verifying : hwdata-0.378-1.fc39.noarch 153/180 Verifying : kernel-headers-6.6.3-200.fc39.x86_64 154/180 Verifying : libXrandr-1.5.4-1.fc39.x86_64 155/180 Verifying : libblkid-devel-2.39.3-4.fc39.x86_64 156/180 Verifying : libcloudproviders-0.3.5-1.fc39.x86_64 157/180 Verifying : libdecor-0.2.2-1.fc39.x86_64 158/180 Verifying : libdrm-2.4.120-1.fc39.x86_64 159/180 Verifying : libdrm-devel-2.4.120-1.fc39.x86_64 160/180 Verifying : libgusb-0.4.8-1.fc39.x86_64 161/180 Verifying : libmount-devel-2.39.3-4.fc39.x86_64 162/180 Verifying : libquadmath-13.2.1-6.fc39.x86_64 163/180 Verifying : libsoup3-3.4.4-1.fc39.x86_64 164/180 Verifying : libstdc++-devel-13.2.1-6.fc39.x86_64 165/180 Verifying : libuv-1:1.47.0-3.fc39.x86_64 166/180 Verifying : libxkbcommon-1.6.0-1.fc39.x86_64 167/180 Verifying : mesa-libEGL-23.3.4-1.fc39.x86_64 168/180 Verifying : mesa-libEGL-devel-23.3.4-1.fc39.x86_64 169/180 Verifying : mesa-libGL-23.3.4-1.fc39.x86_64 170/180 Verifying : mesa-libGL-devel-23.3.4-1.fc39.x86_64 171/180 Verifying : mesa-libgbm-23.3.4-1.fc39.x86_64 172/180 Verifying : mesa-libglapi-23.3.4-1.fc39.x86_64 173/180 Verifying : python3-3.12.1-2.fc39.x86_64 174/180 Verifying : python3-libs-3.12.1-2.fc39.x86_64 175/180 Verifying : python3-markdown-3.5.1-1.fc39.noarch 176/180 Verifying : sysprof-capture-devel-45.1-1.fc39.x86_64 177/180 Verifying : tzdata-2023d-1.fc39.noarch 178/180 Verifying : vim-filesystem-2:9.1.031-1.fc39.noarch 179/180 Verifying : xkeyboard-config-2.40-1.fc39.noarch 180/180 Installed: SDL2-2.28.5-1.fc39.x86_64 SDL2-devel-2.28.5-1.fc39.x86_64 abattis-cantarell-vf-fonts-0.301-10.fc39.noarch adwaita-cursor-theme-45.0-1.fc39.noarch adwaita-icon-theme-45.0-1.fc39.noarch alsa-lib-1.2.10-3.fc39.x86_64 alsa-lib-devel-1.2.10-3.fc39.x86_64 annobin-docs-12.38-1.fc39.noarch annobin-plugin-gcc-12.38-1.fc39.x86_64 at-spi2-atk-2.50.1-1.fc39.x86_64 at-spi2-core-2.50.1-1.fc39.x86_64 atk-2.50.1-1.fc39.x86_64 avahi-libs-0.8-24.fc39.x86_64 cairo-1.18.0-1.fc39.x86_64 cairo-gobject-1.18.0-1.fc39.x86_64 cmake-3.27.7-1.fc39.x86_64 cmake-data-3.27.7-1.fc39.noarch cmake-filesystem-3.27.7-1.fc39.x86_64 cmake-rpm-macros-3.27.7-1.fc39.noarch colord-libs-1.4.6-6.fc39.x86_64 cpp-13.2.1-6.fc39.x86_64 cups-libs-1:2.4.7-5.fc39.x86_64 dbus-1:1.14.10-1.fc39.x86_64 dbus-broker-35-2.fc39.x86_64 dbus-common-1:1.14.10-1.fc39.noarch dbus-devel-1:1.14.10-1.fc39.x86_64 dbus-libs-1:1.14.10-1.fc39.x86_64 default-fonts-core-sans-4.0-9.fc39.noarch emacs-filesystem-1:29.2-2.fc39.noarch expat-2.5.0-3.fc39.x86_64 fftw-3.3.10-7.fc39.x86_64 fftw-devel-3.3.10-7.fc39.x86_64 fftw-libs-3.3.10-7.fc39.x86_64 fftw-libs-double-3.3.10-7.fc39.x86_64 fftw-libs-long-3.3.10-7.fc39.x86_64 fftw-libs-quad-3.3.10-7.fc39.x86_64 fftw-libs-single-3.3.10-7.fc39.x86_64 flac-libs-1.4.3-2.fc39.x86_64 fontconfig-2.14.2-5.fc39.x86_64 fonts-filesystem-1:2.0.5-12.fc39.noarch freetype-2.13.1-2.fc39.x86_64 fribidi-1.0.13-2.fc39.x86_64 gc-8.2.2-4.fc39.x86_64 gcc-13.2.1-6.fc39.x86_64 gcc-c++-13.2.1-6.fc39.x86_64 gcc-plugin-annobin-13.2.1-6.fc39.x86_64 gdk-pixbuf2-2.42.10-5.fc39.x86_64 gdk-pixbuf2-modules-2.42.10-5.fc39.x86_64 glib2-2.78.3-1.fc39.x86_64 glib2-devel-2.78.3-1.fc39.x86_64 glibc-devel-2.38-16.fc39.x86_64 glibc-headers-x86-2.38-16.fc39.noarch gnutls-3.8.3-1.fc39.x86_64 google-noto-fonts-common-20230801-4.fc39.noarch google-noto-sans-vf-fonts-20230801-4.fc39.noarch graphite2-1.3.14-12.fc39.x86_64 gsm-1.0.22-3.fc39.x86_64 gtk-update-icon-cache-3.24.41-1.fc39.x86_64 gtk3-3.24.41-1.fc39.x86_64 guile22-2.2.7-9.fc39.x86_64 harfbuzz-8.2.1-2.fc39.x86_64 hicolor-icon-theme-0.17-16.fc39.noarch hwdata-0.378-1.fc39.noarch jbigkit-libs-2.1-26.fc39.x86_64 json-glib-1.8.0-1.fc39.x86_64 jsoncpp-1.9.5-5.fc39.x86_64 kernel-headers-6.6.3-200.fc39.x86_64 lame-libs-3.100-15.fc39.x86_64 lcms2-2.15-2.fc39.x86_64 libX11-1.8.7-1.fc39.x86_64 libX11-common-1.8.7-1.fc39.noarch libX11-devel-1.8.7-1.fc39.x86_64 libX11-xcb-1.8.7-1.fc39.x86_64 libXau-1.0.11-3.fc39.x86_64 libXau-devel-1.0.11-3.fc39.x86_64 libXcomposite-0.4.5-10.fc39.x86_64 libXcursor-1.2.1-4.fc39.x86_64 libXdamage-1.1.5-10.fc39.x86_64 libXext-1.3.5-3.fc39.x86_64 libXfixes-6.0.0-6.fc39.x86_64 libXft-2.3.8-3.fc39.x86_64 libXi-1.8.1-2.fc39.x86_64 libXinerama-1.1.5-3.fc39.x86_64 libXrandr-1.5.4-1.fc39.x86_64 libXrender-0.9.11-3.fc39.x86_64 libXtst-1.2.4-3.fc39.x86_64 libXxf86vm-1.1.5-3.fc39.x86_64 libasyncns-0.8-25.fc39.x86_64 libb2-0.98.1-9.fc39.x86_64 libblkid-devel-2.39.3-4.fc39.x86_64 libcloudproviders-0.3.5-1.fc39.x86_64 libdatrie-0.2.13-7.fc39.x86_64 libdecor-0.2.2-1.fc39.x86_64 libdrm-2.4.120-1.fc39.x86_64 libdrm-devel-2.4.120-1.fc39.x86_64 libepoxy-1.5.10-4.fc39.x86_64 libffi-devel-3.4.4-4.fc39.x86_64 libglvnd-1:1.7.0-1.fc39.x86_64 libglvnd-core-devel-1:1.7.0-1.fc39.x86_64 libglvnd-devel-1:1.7.0-1.fc39.x86_64 libglvnd-egl-1:1.7.0-1.fc39.x86_64 libglvnd-gles-1:1.7.0-1.fc39.x86_64 libglvnd-glx-1:1.7.0-1.fc39.x86_64 libglvnd-opengl-1:1.7.0-1.fc39.x86_64 libgusb-0.4.8-1.fc39.x86_64 libicu-73.2-2.fc39.x86_64 libjpeg-turbo-2.1.4-3.fc39.x86_64 liblerc-4.0.0-4.fc39.x86_64 liblo-0.31-10.fc39.x86_64 liblo-devel-0.31-10.fc39.x86_64 libmount-devel-2.39.3-4.fc39.x86_64 libmpc-1.3.1-3.fc39.x86_64 libogg-2:1.3.5-6.fc39.x86_64 libpciaccess-0.16-9.fc39.x86_64 libpciaccess-devel-0.16-9.fc39.x86_64 libpng-2:1.6.37-15.fc39.x86_64 libquadmath-13.2.1-6.fc39.x86_64 libselinux-devel-3.5-5.fc39.x86_64 libsepol-devel-3.5-2.fc39.x86_64 libsndfile-1.1.0-9.fc39.x86_64 libsoup3-3.4.4-1.fc39.x86_64 libstdc++-devel-13.2.1-6.fc39.x86_64 libstemmer-2.2.0-7.fc39.x86_64 libthai-0.1.29-6.fc39.x86_64 libtiff-4.4.0-8.fc39.x86_64 libtool-ltdl-2.4.7-7.fc39.x86_64 libtracker-sparql-3.6.0-1.fc39.x86_64 libusb1-1.0.26-3.fc39.x86_64 libuv-1:1.47.0-3.fc39.x86_64 libvorbis-1:1.3.7-8.fc39.x86_64 libwayland-client-1.22.0-2.fc39.x86_64 libwayland-cursor-1.22.0-2.fc39.x86_64 libwayland-egl-1.22.0-2.fc39.x86_64 libwayland-server-1.22.0-2.fc39.x86_64 libwebp-1.3.2-2.fc39.x86_64 libxcb-1.13.1-12.fc39.x86_64 libxcb-devel-1.13.1-12.fc39.x86_64 libxcrypt-devel-4.4.36-2.fc39.x86_64 libxkbcommon-1.6.0-1.fc39.x86_64 libxshmfence-1.3-13.fc39.x86_64 lv2-1.18.8-6.fc39.x86_64 lv2-devel-1.18.8-6.fc39.x86_64 make-1:4.4.1-2.fc39.x86_64 mesa-libEGL-23.3.4-1.fc39.x86_64 mesa-libEGL-devel-23.3.4-1.fc39.x86_64 mesa-libGL-23.3.4-1.fc39.x86_64 mesa-libGL-devel-23.3.4-1.fc39.x86_64 mesa-libgbm-23.3.4-1.fc39.x86_64 mesa-libglapi-23.3.4-1.fc39.x86_64 mpdecimal-2.5.1-7.fc39.x86_64 mpg123-libs-1.31.3-2.fc39.x86_64 nettle-3.9.1-2.fc39.x86_64 opus-1.3.1-13.fc39.x86_64 pango-1.51.0-1.fc39.x86_64 pcre2-devel-10.42-1.fc39.2.x86_64 pcre2-utf16-10.42-1.fc39.2.x86_64 pcre2-utf32-10.42-1.fc39.2.x86_64 pixman-0.42.2-2.fc39.x86_64 pulseaudio-libs-16.1-5.fc39.x86_64 pulseaudio-libs-devel-16.1-5.fc39.x86_64 pulseaudio-libs-glib2-16.1-5.fc39.x86_64 python-pip-wheel-23.2.1-1.fc39.noarch python3-3.12.1-2.fc39.x86_64 python3-isodate-0.6.1-9.fc39.noarch python3-libs-3.12.1-2.fc39.x86_64 python3-markdown-3.5.1-1.fc39.noarch python3-pyparsing-3.0.9-11.fc39.noarch python3-rdflib-6.2.0-4.fc39.noarch python3-setuptools-67.7.2-7.fc39.noarch python3-six-1.16.0-12.fc39.noarch rhash-1.4.3-3.fc39.x86_64 shared-mime-info-2.2-4.fc39.x86_64 sysprof-capture-devel-45.1-1.fc39.x86_64 tzdata-2023d-1.fc39.noarch vim-filesystem-2:9.1.031-1.fc39.noarch xkeyboard-config-2.40-1.fc39.noarch xml-common-0.6.3-61.fc39.noarch xorg-x11-proto-devel-2023.2-2.fc39.noarch xprop-1.2.5-4.fc39.x86_64 zlib-devel-1.2.13-4.fc39.x86_64 Complete! Finish: build setup for aida-x-1.1.0-1.fc39.src.rpm Start: rpmbuild aida-x-1.1.0-1.fc39.src.rpm Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1706745600 Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.Kodsdf + umask 022 + cd /builddir/build/BUILD + cd /builddir/build/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 + rm -rf /builddir/build/BUILD/AIDA-X-SPECPARTS + /usr/bin/mkdir -p /builddir/build/BUILD/AIDA-X-SPECPARTS + /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.1eKJ6s + umask 022 + cd /builddir/build/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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-Wl,-z,relro -Clink-arg=-Wl,-z,now -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-Wl,-z,relro -Clink-arg=-Wl,-z,now -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + /usr/bin/cmake -S . -B redhat-linux-build -DCMAKE_C_FLAGS_RELEASE:STRING=-DNDEBUG -DCMAKE_CXX_FLAGS_RELEASE:STRING=-DNDEBUG -DCMAKE_Fortran_FLAGS_RELEASE:STRING=-DNDEBUG -DCMAKE_VERBOSE_MAKEFILE:BOOL=ON -DCMAKE_INSTALL_DO_STRIP:BOOL=OFF -DCMAKE_INSTALL_PREFIX:PATH=/usr -DINCLUDE_INSTALL_DIR:PATH=/usr/include -DLIB_INSTALL_DIR:PATH=/usr/lib64 -DSYSCONF_INSTALL_DIR:PATH=/etc -DSHARE_INSTALL_PREFIX:PATH=/usr/share -DLIB_SUFFIX=64 -DBUILD_SHARED_LIBS:BOOL=ON -- The C compiler identification is GNU 13.2.1 -- The CXX compiler identification is GNU 13.2.1 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/bin/gcc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /usr/bin/g++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done RTNEURAL_XSIMD in AIDA-X = FALSE, using processor type x86_64 and system name Linux CMake Deprecation Warning at modules/rtneural/CMakeLists.txt:1 (cmake_minimum_required): Compatibility with CMake < 3.5 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. -- RTNeural -- Using Eigen backend (Default) -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success -- Found Threads: TRUE -- Found OpenGL: /usr/lib64/libOpenGL.so -- Found PkgConfig: /usr/bin/pkg-config (found version "1.9.5") -- Checking for module 'dbus-1' -- Found dbus-1, version 1.14.10 -- Found X11: /usr/include -- Looking for XOpenDisplay in /usr/lib64/libX11.so -- Looking for XOpenDisplay in /usr/lib64/libX11.so - found -- Looking for gethostbyname -- Looking for gethostbyname - found -- Looking for connect -- Looking for connect - found -- Looking for remove -- Looking for remove - found -- Looking for shmat -- Looking for shmat - found -- Checking for module 'sdl2' -- Found sdl2, version 2.28.5 -- Checking for module 'alsa' -- Found alsa, version 1.2.10 -- Checking for module 'libpulse-simple' -- Found libpulse-simple, version 16.1 -- Configuring done (2.1s) -- Generating done (0.0s) CMake Warning: Manually-specified variables were not used by the project: CMAKE_CXX_FLAGS_RELEASE CMAKE_C_FLAGS_RELEASE CMAKE_Fortran_FLAGS_RELEASE CMAKE_INSTALL_DO_STRIP INCLUDE_INSTALL_DIR LIB_INSTALL_DIR LIB_SUFFIX SHARE_INSTALL_PREFIX SYSCONF_INSTALL_DIR -- Build files have been written to: /builddir/build/BUILD/AIDA-X/redhat-linux-build + /usr/bin/cmake --build redhat-linux-build -j2 --verbose Change Dir: '/builddir/build/BUILD/AIDA-X/redhat-linux-build' Run Build Command(s): /usr/bin/cmake -E env VERBOSE=1 /usr/bin/gmake -f Makefile -j2 /usr/bin/cmake -S/builddir/build/BUILD/AIDA-X -B/builddir/build/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/redhat-linux-build/CMakeFiles /builddir/build/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/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 gmake[2]: Entering directory '/builddir/build/BUILD/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/AIDA-X /builddir/build/BUILD/AIDA-X /builddir/build/BUILD/AIDA-X/redhat-linux-build /builddir/build/BUILD/AIDA-X/redhat-linux-build /builddir/build/BUILD/AIDA-X/redhat-linux-build/CMakeFiles/dgl-opengl.dir/DependInfo.cmake "--color=" gmake[2]: Entering directory '/builddir/build/BUILD/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/AIDA-X /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural /builddir/build/BUILD/AIDA-X/redhat-linux-build /builddir/build/BUILD/AIDA-X/redhat-linux-build/modules/rtneural/RTNeural /builddir/build/BUILD/AIDA-X/redhat-linux-build/modules/rtneural/RTNeural/CMakeFiles/RTNeural.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/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/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/redhat-linux-build' gmake[2]: Entering directory '/builddir/build/BUILD/AIDA-X/redhat-linux-build' [ 1%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Application.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Application.cpp.o -MF 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-I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Color.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Color.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Color.cpp.o -c /builddir/build/BUILD/AIDA-X/modules/dpf/dgl/src/Color.cpp [ 6%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/EventHandlers.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl -I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/EventHandlers.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/EventHandlers.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/EventHandlers.cpp.o -c /builddir/build/BUILD/AIDA-X/modules/dpf/dgl/src/EventHandlers.cpp [ 7%] 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/modules/dpf/dgl -I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Geometry.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Geometry.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Geometry.cpp.o -c /builddir/build/BUILD/AIDA-X/modules/dpf/dgl/src/Geometry.cpp [ 8%] Linking CXX static library libRTNeural.a cd /builddir/build/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/redhat-linux-build/modules/rtneural/RTNeural && /usr/bin/cmake -E cmake_link_script 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directory '/builddir/build/BUILD/AIDA-X/redhat-linux-build' [ 10%] Building C object CMakeFiles/lv2_ttl_generator.dir/modules/dpf/utils/lv2-ttl-generator/lv2_ttl_generator.c.o /usr/bin/gcc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -std=gnu11 -fvisibility=hidden -MD -MT CMakeFiles/lv2_ttl_generator.dir/modules/dpf/utils/lv2-ttl-generator/lv2_ttl_generator.c.o -MF CMakeFiles/lv2_ttl_generator.dir/modules/dpf/utils/lv2-ttl-generator/lv2_ttl_generator.c.o.d -o CMakeFiles/lv2_ttl_generator.dir/modules/dpf/utils/lv2-ttl-generator/lv2_ttl_generator.c.o -c 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-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/modules/dpf/distrho -I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/standalone -I/builddir/build/BUILD/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security 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-DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/plugin -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/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 -mtune=generic 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/builddir/build/BUILD/AIDA-X/modules/dpf/utils/res2c.py Files /builddir/build/BUILD/AIDA-X/files /builddir/build/BUILD/AIDA-X/redhat-linux-build Generating data for "/builddir/build/BUILD/AIDA-X/files/V30-P2-audix-i5-deerinkstudios.wav" Generating data for "/builddir/build/BUILD/AIDA-X/files/tw40_california_clean_deerinkstudios.json" cd /builddir/build/BUILD/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/AIDA-X /builddir/build/BUILD/AIDA-X /builddir/build/BUILD/AIDA-X/redhat-linux-build /builddir/build/BUILD/AIDA-X/redhat-linux-build /builddir/build/BUILD/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-Standalone-dsp.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/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/redhat-linux-build' [ 19%] 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/modules/dpf/distrho -I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/standalone -I/builddir/build/BUILD/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/AIDA-X/modules/rtneural/modules/Eigen -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches 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-I/builddir/build/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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/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/modules/FFTConvolver/AudioFFT.cpp [ 23%] Building CXX object CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/ImageBaseWidgets.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/modules/dpf/dgl -I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT 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CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/SubWidgetPrivateData.cpp.o -c /builddir/build/BUILD/AIDA-X/modules/dpf/dgl/src/SubWidgetPrivateData.cpp [ 29%] Building CXX object CMakeFiles/AIDA-X-Standalone-dsp.dir/modules/FFTConvolver/TwoStageFFTConvolver.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/standalone -I/builddir/build/BUILD/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include 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-fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-dsp.dir/src/aidadsp-plugin.cpp.o -MF CMakeFiles/AIDA-X-Standalone-dsp.dir/src/aidadsp-plugin.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-dsp.dir/src/aidadsp-plugin.cpp.o -c /builddir/build/BUILD/AIDA-X/src/aidadsp-plugin.cpp In file included from /usr/include/c++/13/backward/strstream:50, from /builddir/build/BUILD/AIDA-X/src/aidadsp-plugin.cpp:19: /usr/include/c++/13/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 \ | ^~~~~~~ [ 43%] 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/modules/dpf/dgl -I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/OpenGL.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/OpenGL.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/OpenGL.cpp.o -c /builddir/build/BUILD/AIDA-X/modules/dpf/dgl/src/OpenGL.cpp [ 44%] 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/modules/dpf/dgl -I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/NanoVG.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/NanoVG.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/NanoVG.cpp.o -c /builddir/build/BUILD/AIDA-X/modules/dpf/dgl/src/NanoVG.cpp In file included from /builddir/build/BUILD/AIDA-X/modules/dpf/dgl/src/nanovg/fontstash.h:167, from /builddir/build/BUILD/AIDA-X/modules/dpf/dgl/src/nanovg/nanovg.c:31, from /builddir/build/BUILD/AIDA-X/modules/dpf/dgl/src/NanoVG.cpp:1201: /builddir/build/BUILD/AIDA-X/modules/dpf/dgl/src/nanovg/stb_truetype.h: In function ‘stbtt_GetGlyphSDF’: /builddir/build/BUILD/AIDA-X/modules/dpf/dgl/src/nanovg/stb_truetype.h:4665:53: warning: ‘res[1]’ may be used uninitialized [-Wmaybe-uninitialized] 4665 | if (num >= 2 && res[1] >= 0.0f && res[1] <= 1.0f) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/AIDA-X/modules/dpf/dgl/src/nanovg/stb_truetype.h:4630:28: note: ‘res[1]’ was declared here 4630 | float res[3],px,py,t,it; | ^~~ [ 46%] 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/modules/dpf/dgl -I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Resources.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Resources.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/Resources.cpp.o -c /builddir/build/BUILD/AIDA-X/modules/dpf/dgl/src/Resources.cpp [ 47%] 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/modules/dpf/dgl -I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl/src/pugl-upstream/include -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/pugl.cpp.o -MF CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/pugl.cpp.o.d -o CMakeFiles/dgl-opengl.dir/modules/dpf/dgl/src/pugl.cpp.o -c /builddir/build/BUILD/AIDA-X/modules/dpf/dgl/src/pugl.cpp In file included from /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru.h:8, from /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/Model.h:17, from /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/RTNeural.h:19, from /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:2, from /builddir/build/BUILD/AIDA-X/src/aidadsp-plugin.cpp:13: /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 1; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:658:41: required from here /builddir/build/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/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 2; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:662:41: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 3; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:666:41: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 4; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:670:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 5; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:674:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 6; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:678:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 7; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:682:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 8; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:686:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 9; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:690:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 10; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:694:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 11; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:698:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 12; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:702:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 13; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:706:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 14; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:710:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 15; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:714:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 16; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:718:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 17; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:722:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 18; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:726:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 19; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:730:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 20; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:734:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 21; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:738:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 22; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:742:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 23; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:746:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 24; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:750:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 25; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:754:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 26; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:758:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 27; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:762:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] In file included from /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm.h:6, from /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/Model.h:19: /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 28; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:766:42: required from here /builddir/build/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/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 29; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:770:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 30; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:774:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 31; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:778:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 32; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:782:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 33; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:786:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 34; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::Den[ 48%] 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/redhat-linux-build' [ 48%] Built target dgl-opengl /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/redhat-linux-build' cd /builddir/build/BUILD/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/AIDA-X /builddir/build/BUILD/AIDA-X /builddir/build/BUILD/AIDA-X/redhat-linux-build /builddir/build/BUILD/AIDA-X/redhat-linux-build /builddir/build/BUILD/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-dsp.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/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/redhat-linux-build' [ 50%] 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/modules/dpf/distrho -I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/plugin -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-dsp.dir/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/redhat-linux-build/Files.cpp seT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:790:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 35; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:794:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 36; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:798:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 37; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:802:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 38; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:806:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 39; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:810:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 40; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:814:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 41; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:818:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 42; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:822:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 43; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:826:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 44; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:830:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 45; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:834:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 46; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:838:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 47; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:842:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 48; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:846:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 49; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:850:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 50; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:854:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 51; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:858:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 52; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:862:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 53; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:866:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 54; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:870:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] [ 53%] 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/modules/dpf/distrho -I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/plugin -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/TwoStageFFTConvolver.cpp.o -MF CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/TwoStageFFTConvolver.cpp.o.d -o CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/TwoStageFFTConvolver.cpp.o -c /builddir/build/BUILD/AIDA-X/modules/FFTConvolver/TwoStageFFTConvolver.cpp [ 55%] 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/modules/dpf/distrho -I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/plugin -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/Utilities.cpp.o -MF CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/Utilities.cpp.o.d -o CMakeFiles/AIDA-X-dsp.dir/modules/FFTConvolver/Utilities.cpp.o -c /builddir/build/BUILD/AIDA-X/modules/FFTConvolver/Utilities.cpp [ 56%] Building CXX object CMakeFiles/AIDA-X-dsp.dir/modules/r8brain/pffft.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/plugin -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-dsp.dir/modules/r8brain/pffft.cpp.o -MF CMakeFiles/AIDA-X-dsp.dir/modules/r8brain/pffft.cpp.o.d -o CMakeFiles/AIDA-X-dsp.dir/modules/r8brain/pffft.cpp.o -c /builddir/build/BUILD/AIDA-X/modules/r8brain/pffft.cpp [ 57%] Building CXX object CMakeFiles/AIDA-X-dsp.dir/modules/r8brain/r8bbase.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/plugin -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-dsp.dir/modules/r8brain/r8bbase.cpp.o -MF CMakeFiles/AIDA-X-dsp.dir/modules/r8brain/r8bbase.cpp.o.d -o CMakeFiles/AIDA-X-dsp.dir/modules/r8brain/r8bbase.cpp.o -c /builddir/build/BUILD/AIDA-X/modules/r8brain/r8bbase.cpp In file included from /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/dense/dense.h:9, from /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/Model.h:16: /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:504:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 1; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:658:41: required from here /builddir/build/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/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:504:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 4; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:670:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:504:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 7; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:682:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:504:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 10; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:694:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:504:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 13; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:706:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:504:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 16; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:718:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:504:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 19; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:730:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:504:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 22; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:742:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:504:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 25; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:754:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] [ 58%] Building CXX object CMakeFiles/AIDA-X-dsp.dir/src/aidadsp-plugin.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_DBUS -DHAVE_DGL -DHAVE_OPENGL -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/plugin -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-dsp.dir/src/aidadsp-plugin.cpp.o -MF CMakeFiles/AIDA-X-dsp.dir/src/aidadsp-plugin.cpp.o.d -o CMakeFiles/AIDA-X-dsp.dir/src/aidadsp-plugin.cpp.o -c /builddir/build/BUILD/AIDA-X/src/aidadsp-plugin.cpp In file included from /usr/include/c++/13/backward/strstream:50, from /builddir/build/BUILD/AIDA-X/src/aidadsp-plugin.cpp:19: /usr/include/c++/13/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 \ | ^~~~~~~ In file included from /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru.h:8, from /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/Model.h:17, from /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/RTNeural.h:19, from /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:2, from /builddir/build/BUILD/AIDA-X/src/aidadsp-plugin.cpp:13: /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 1; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:658:41: required from here /builddir/build/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/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 2; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:662:41: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 3; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:666:41: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 4; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:670:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 5; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:674:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 6; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:678:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 7; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:682:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 8; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:686:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 9; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:690:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 10; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:694:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 11; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:698:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 12; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:702:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 13; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:706:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 14; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:710:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 15; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:714:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 16; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:718:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 17; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:722:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 18; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:726:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 19; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:730:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 20; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:734:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 21; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:738:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 22; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:742:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 23; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:746:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 24; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:750:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 25; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:754:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 26; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:758:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 27; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:762:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/gru/gru_eigen.tpp:172:12: warning: member ‘RTNeural::GRULayerT::outs_internal’ is used uninitialized [-Wuninitialized] In file included from /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm.h:6, from /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/Model.h:19: /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 28; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:766:42: required from here /builddir/build/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/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 29; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:770:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 30; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:774:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 31; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:778:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 32; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:782:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 33; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:786:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 34; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:790:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 35; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:794:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 36; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:798:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 37; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:802:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 38; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:806:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 39; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:810:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 40; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:814:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 41; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:818:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 42; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:822:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 43; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:826:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 44; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:830:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 45; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:834:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 46; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:838:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 47; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:842:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 48; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:846:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 49; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:850:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 50; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:854:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 51; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:858:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 52; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:862:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 53; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:866:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::LSTMLayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required 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]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 54; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:870:43: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/lstm/lstm_eigen.tpp:106:12: warning: member ‘RTNeural::LSTMLayerT::outs_internal’ is used uninitialized [-Wuninitialized] In file included from /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/dense/dense.h:9, from /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/Model.h:16: /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:504:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 1; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:658:41: required from here /builddir/build/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/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:504:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 4; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:670:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:504:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 7; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:682:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:504:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 10; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:694:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:504:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 13; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:706:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:504:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 16; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:718:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:504:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 19; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:730:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:504:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 22; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:742:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] /builddir/build/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++/13/tuple:191:9: required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:504:15: required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl() [with long unsigned int _Idx = 1; _Head = RTNeural::DenseT]’ /usr/include/c++/13/tuple:281:29: required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl() [with long unsigned int _Idx = 0; _Head = RTNeural::GRULayerT; _Tail = {RTNeural::DenseT}]’ /usr/include/c++/13/tuple:1312:15: required from ‘constexpr std::tuple<_T1, _T2>::tuple() [with bool _Dummy = true; typename std::enable_if::__is_implicitly_default_constructible(), bool>::type = true; _T1 = RTNeural::GRULayerT; _T2 = RTNeural::DenseT]’ /builddir/build/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}]’ /usr/include/c++/13/variant:282:4: required from ‘constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT, RTNeural::DenseT >]’ /usr/include/c++/13/bits/stl_construct.h:119:7: required from ‘void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized, RTNeural::DenseT >, false>; _Args = {const in_place_index_t<0>&}]’ /usr/include/c++/13/variant:567:22: required from ‘void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 25; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; _Args = {}]’ /usr/include/c++/13/variant:1570:33: required from ‘std::enable_if_t::__to_type<_Np, typename std::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::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT, RTNeural::DenseT >&; __to_type<_Np> = RTNeural::ModelT, RTNeural::DenseT >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]’ /usr/include/c++/13/variant:1522:33: required from ‘std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT, RTNeural::DenseT >; _Args = {}; _Types = {NullModel, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >, RTNeural::ModelT, RTNeural::DenseT >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT, RTNeural::DenseT >&]’ /builddir/build/BUILD/AIDA-X/src/model_variant.hpp:754:42: required from here /builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/dense/dense_eigen.h:125:16: warning: member ‘RTNeural::DenseT::outs_internal’ is used uninitialized [-Wuninitialized] [ 60%] 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/modules/dpf/distrho -I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/standalone -I/builddir/build/BUILD/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-dsp.dir/src/Biquad.cpp.o -MF CMakeFiles/AIDA-X-Standalone-dsp.dir/src/Biquad.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-dsp.dir/src/Biquad.cpp.o -c /builddir/build/BUILD/AIDA-X/src/Biquad.cpp [ 61%] Building CXX object CMakeFiles/AIDA-X-Standalone-dsp.dir/src/3rd-party.cpp.o /usr/bin/g++ -DDGL_OPENGL -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/standalone -I/builddir/build/BUILD/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-dsp.dir/src/3rd-party.cpp.o -MF CMakeFiles/AIDA-X-Standalone-dsp.dir/src/3rd-party.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-dsp.dir/src/3rd-party.cpp.o -c /builddir/build/BUILD/AIDA-X/src/3rd-party.cpp [ 62%] 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/redhat-linux-build' [ 62%] Built target AIDA-X-Standalone-dsp /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/redhat-linux-build' [ 64%] Generating Graphics.cpp /builddir/build/BUILD/AIDA-X/modules/dpf/utils/res2c.py Graphics /builddir/build/BUILD/AIDA-X/graphics/png /builddir/build/BUILD/AIDA-X/redhat-linux-build Generating data for "/builddir/build/BUILD/AIDA-X/graphics/png/aida.png" Generating data for "/builddir/build/BUILD/AIDA-X/graphics/png/ax-amp-on.png" Generating data for "/builddir/build/BUILD/AIDA-X/graphics/png/ax-amp.png" Generating data for "/builddir/build/BUILD/AIDA-X/graphics/png/ax-cab-on.png" Generating data for "/builddir/build/BUILD/AIDA-X/graphics/png/ax-cab.png" Generating data for "/builddir/build/BUILD/AIDA-X/graphics/png/ax.png" Generating data for "/builddir/build/BUILD/AIDA-X/graphics/png/background-p2.png" Generating data for "/builddir/build/BUILD/AIDA-X/graphics/png/background.png" Generating data for "/builddir/build/BUILD/AIDA-X/graphics/png/knob.png" Generating data for "/builddir/build/BUILD/AIDA-X/graphics/png/scale.png" cd /builddir/build/BUILD/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/AIDA-X /builddir/build/BUILD/AIDA-X /builddir/build/BUILD/AIDA-X/redhat-linux-build /builddir/build/BUILD/AIDA-X/redhat-linux-build /builddir/build/BUILD/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-ui.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/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/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/modules/dpf/distrho -I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/plugin -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl -I/builddir/build/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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-ui.dir/Graphics.cpp.o -MF CMakeFiles/AIDA-X-ui.dir/Graphics.cpp.o.d -o CMakeFiles/AIDA-X-ui.dir/Graphics.cpp.o -c /builddir/build/BUILD/AIDA-X/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 -I/builddir/build/BUILD/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/plugin -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl -I/builddir/build/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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-ui.dir/src/aidadsp-ui.cpp.o -MF CMakeFiles/AIDA-X-ui.dir/src/aidadsp-ui.cpp.o.d -o CMakeFiles/AIDA-X-ui.dir/src/aidadsp-ui.cpp.o -c /builddir/build/BUILD/AIDA-X/src/aidadsp-ui.cpp [ 67%] Linking CXX static library libAIDA-X-ui.a /usr/bin/cmake -P CMakeFiles/AIDA-X-ui.dir/cmake_clean_target.cmake /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-ui.dir/link.txt --verbose=1 /usr/bin/ar qc libAIDA-X-ui.a "CMakeFiles/AIDA-X-ui.dir/Graphics.cpp.o" "CMakeFiles/AIDA-X-ui.dir/src/aidadsp-ui.cpp.o" /usr/bin/ranlib libAIDA-X-ui.a gmake[2]: Leaving directory '/builddir/build/BUILD/AIDA-X/redhat-linux-build' [ 67%] Built target AIDA-X-ui /usr/bin/gmake -f CMakeFiles/AIDA-X-Standalone-ui.dir/build.make CMakeFiles/AIDA-X-Standalone-ui.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/AIDA-X /builddir/build/BUILD/AIDA-X /builddir/build/BUILD/AIDA-X/redhat-linux-build /builddir/build/BUILD/AIDA-X/redhat-linux-build /builddir/build/BUILD/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-Standalone-ui.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/AIDA-X/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/AIDA-X-Standalone-ui.dir/build.make CMakeFiles/AIDA-X-Standalone-ui.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/AIDA-X/redhat-linux-build' [ 69%] Building CXX object CMakeFiles/AIDA-X-Standalone-ui.dir/Graphics.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/standalone -I/builddir/build/BUILD/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl -I/builddir/build/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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-ui.dir/Graphics.cpp.o -MF CMakeFiles/AIDA-X-Standalone-ui.dir/Graphics.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-ui.dir/Graphics.cpp.o -c /builddir/build/BUILD/AIDA-X/redhat-linux-build/Graphics.cpp [ 70%] Building CXX object CMakeFiles/AIDA-X-Standalone-ui.dir/modules/dpf-widgets/opengl/Blendish.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/standalone -I/builddir/build/BUILD/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl -I/builddir/build/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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-ui.dir/modules/dpf-widgets/opengl/Blendish.cpp.o -MF CMakeFiles/AIDA-X-Standalone-ui.dir/modules/dpf-widgets/opengl/Blendish.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-ui.dir/modules/dpf-widgets/opengl/Blendish.cpp.o -c /builddir/build/BUILD/AIDA-X/modules/dpf-widgets/opengl/Blendish.cpp [ 71%] Building CXX object CMakeFiles/AIDA-X-Standalone-ui.dir/src/aidadsp-ui.cpp.o /usr/bin/g++ -DDGL_NAMESPACE=AidaDGL -DDGL_OPENGL -DDGL_WINDOWS_ICON_ID=401 -DHAVE_ALSA -DHAVE_DBUS -DHAVE_DGL -DHAVE_JACK -DHAVE_OPENGL -DHAVE_PULSEAUDIO -DHAVE_RTAUDIO -DHAVE_SDL2 -DHAVE_X11 -DNVG_FONT_TEXTURE_FLAGS=NVG_IMAGE_NEAREST -DRTNEURAL_DEFAULT_ALIGNMENT=16 -DRTNEURAL_USE_EIGEN=1 -I/builddir/build/BUILD/AIDA-X/modules/dpf/distrho -I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/standalone -I/builddir/build/BUILD/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl -I/builddir/build/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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-Standalone-ui.dir/src/aidadsp-ui.cpp.o -MF CMakeFiles/AIDA-X-Standalone-ui.dir/src/aidadsp-ui.cpp.o.d -o CMakeFiles/AIDA-X-Standalone-ui.dir/src/aidadsp-ui.cpp.o -c /builddir/build/BUILD/AIDA-X/src/aidadsp-ui.cpp [ 73%] Linking CXX static library libAIDA-X-Standalone-ui.a /usr/bin/cmake -P CMakeFiles/AIDA-X-Standalone-ui.dir/cmake_clean_target.cmake /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-Standalone-ui.dir/link.txt --verbose=1 /usr/bin/ar qc libAIDA-X-Standalone-ui.a "CMakeFiles/AIDA-X-Standalone-ui.dir/Graphics.cpp.o" "CMakeFiles/AIDA-X-Standalone-ui.dir/modules/dpf-widgets/opengl/Blendish.cpp.o" "CMakeFiles/AIDA-X-Standalone-ui.dir/src/aidadsp-ui.cpp.o" /usr/bin/ranlib libAIDA-X-Standalone-ui.a gmake[2]: Leaving directory '/builddir/build/BUILD/AIDA-X/redhat-linux-build' [ 74%] Built target AIDA-X-Standalone-ui /usr/bin/gmake -f CMakeFiles/AIDA-X-lv2-ui.dir/build.make CMakeFiles/AIDA-X-lv2-ui.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/AIDA-X /builddir/build/BUILD/AIDA-X /builddir/build/BUILD/AIDA-X/redhat-linux-build /builddir/build/BUILD/AIDA-X/redhat-linux-build /builddir/build/BUILD/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-lv2-ui.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/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/redhat-linux-build' [ 75%] 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/modules/dpf/distrho -I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/plugin -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl -I/builddir/build/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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-lv2-ui.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -MF CMakeFiles/AIDA-X-lv2-ui.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o.d -o CMakeFiles/AIDA-X-lv2-ui.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -c /builddir/build/BUILD/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp [ 76%] Linking CXX shared module bin/AIDA-X.lv2/AIDA-X_ui.so /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-lv2-ui.dir/link.txt --verbose=1 /usr/bin/g++ -fPIC -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -Xlinker --version-script=/builddir/build/BUILD/AIDA-X/modules/dpf/utils/symbols/lv2-ui.version -Wl,-z,relro -Wl,--as-needed -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 [ 78%] 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/modules/dpf/distrho -I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/plugin -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-dsp.dir/src/Biquad.cpp.o -MF CMakeFiles/AIDA-X-dsp.dir/src/Biquad.cpp.o.d -o CMakeFiles/AIDA-X-dsp.dir/src/Biquad.cpp.o -c /builddir/build/BUILD/AIDA-X/src/Biquad.cpp gmake[2]: Leaving directory '/builddir/build/BUILD/AIDA-X/redhat-linux-build' [ 78%] Built target AIDA-X-lv2-ui /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/redhat-linux-build' cd /builddir/build/BUILD/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/AIDA-X /builddir/build/BUILD/AIDA-X 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-I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/standalone -I/builddir/build/BUILD/AIDA-X/modules/dpf-widgets/opengl -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl -I/builddir/build/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 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-I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl -I/builddir/build/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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO 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-I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl -I/builddir/build/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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-clap.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o 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'/builddir/build/BUILD/AIDA-X/redhat-linux-build' cd /builddir/build/BUILD/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/AIDA-X /builddir/build/BUILD/AIDA-X /builddir/build/BUILD/AIDA-X/redhat-linux-build /builddir/build/BUILD/AIDA-X/redhat-linux-build /builddir/build/BUILD/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-lv2.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/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]: Entering directory '/builddir/build/BUILD/AIDA-X/redhat-linux-build' [ 91%] 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/modules/dpf/distrho -I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/plugin -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-lv2.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o -MF CMakeFiles/AIDA-X-lv2.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o.d -o CMakeFiles/AIDA-X-lv2.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o -c /builddir/build/BUILD/AIDA-X/modules/dpf/distrho/DistrhoPluginMain.cpp gmake[2]: Leaving directory '/builddir/build/BUILD/AIDA-X/redhat-linux-build' [ 91%] Built target AIDA-X-clap /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/redhat-linux-build' cd /builddir/build/BUILD/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/AIDA-X /builddir/build/BUILD/AIDA-X /builddir/build/BUILD/AIDA-X/redhat-linux-build /builddir/build/BUILD/AIDA-X/redhat-linux-build /builddir/build/BUILD/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-vst2.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/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/redhat-linux-build' [ 92%] Building CXX object CMakeFiles/AIDA-X-vst2.dir/modules/dpf/distrho/DistrhoPluginMain.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/modules/dpf/distrho -I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/plugin -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl -I/builddir/build/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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-vst2.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o -MF CMakeFiles/AIDA-X-vst2.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o.d -o CMakeFiles/AIDA-X-vst2.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o -c /builddir/build/BUILD/AIDA-X/modules/dpf/distrho/DistrhoPluginMain.cpp [ 93%] Linking CXX shared module bin/AIDA-X.lv2/AIDA-X_dsp.so /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-lv2.dir/link.txt --verbose=1 /usr/bin/g++ -fPIC -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -Xlinker --version-script=/builddir/build/BUILD/AIDA-X/modules/dpf/utils/symbols/lv2-dsp.version -Wl,-z,relro -Wl,--as-needed -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 [ 94%] 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/modules/dpf/distrho -I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/plugin -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl -I/builddir/build/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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-vst2.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -MF CMakeFiles/AIDA-X-vst2.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o.d -o CMakeFiles/AIDA-X-vst2.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -c /builddir/build/BUILD/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp [ 96%] Linking CXX shared module bin/AIDA-X-vst2.so /usr/bin/cmake -E cmake_link_script CMakeFiles/AIDA-X-vst2.dir/link.txt --verbose=1 /usr/bin/g++ -fPIC -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -Xlinker --version-script=/builddir/build/BUILD/AIDA-X/modules/dpf/utils/symbols/vst2.version -Wl,-z,relro -Wl,--as-needed -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 cd /builddir/build/BUILD/AIDA-X/redhat-linux-build/bin/AIDA-X.lv2 && /builddir/build/BUILD/AIDA-X/redhat-linux-build/lv2_ttl_generator /builddir/build/BUILD/AIDA-X/redhat-linux-build/bin/AIDA-X.lv2/AIDA-X_dsp.so Generate ttl data for '/builddir/build/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/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/redhat-linux-build' cd /builddir/build/BUILD/AIDA-X/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/AIDA-X /builddir/build/BUILD/AIDA-X /builddir/build/BUILD/AIDA-X/redhat-linux-build /builddir/build/BUILD/AIDA-X/redhat-linux-build /builddir/build/BUILD/AIDA-X/redhat-linux-build/CMakeFiles/AIDA-X-vst3.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/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/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/modules/dpf/distrho -I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/plugin -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl -I/builddir/build/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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o -MF CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o.d -o CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoPluginMain.cpp.o -c /builddir/build/BUILD/AIDA-X/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/modules/dpf/distrho -I/builddir/build/BUILD/AIDA-X/src -I/builddir/build/BUILD/AIDA-X/src/plugin -I/builddir/build/BUILD/AIDA-X/modules/dr_libs -I/builddir/build/BUILD/AIDA-X/modules/FFTConvolver -I/builddir/build/BUILD/AIDA-X/modules/r8brain -I/builddir/build/BUILD/AIDA-X/modules/rtneural -I/builddir/build/BUILD/AIDA-X/redhat-linux-build -I/usr/include/dbus-1.0 -I/usr/lib64/dbus-1.0/include -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/../modules/json -I/builddir/build/BUILD/AIDA-X/modules/rtneural/RTNeural/.. -I/builddir/build/BUILD/AIDA-X/modules/rtneural/modules/Eigen -I/builddir/build/BUILD/AIDA-X/modules/dpf/dgl -I/builddir/build/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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -std=gnu++17 -fPIC -fvisibility=hidden -fvisibility-inlines-hidden -fno-gnu-unique -MD -MT CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -MF CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o.d -o CMakeFiles/AIDA-X-vst3.dir/modules/dpf/distrho/DistrhoUIMain.cpp.o -c /builddir/build/BUILD/AIDA-X/modules/dpf/distrho/DistrhoUIMain.cpp [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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DDISTRHO_NAMESPACE=AidaDISTRHO -DDGL_NAMESPACE=AidaDGL -Xlinker --version-script=/builddir/build/BUILD/AIDA-X/modules/dpf/utils/symbols/vst3.version -Wl,-z,relro -Wl,--as-needed -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/redhat-linux-build' [100%] Built target AIDA-X-vst2 gmake[2]: Leaving directory '/builddir/build/BUILD/AIDA-X/redhat-linux-build' [100%] Built target AIDA-X-vst3 gmake[1]: Leaving directory '/builddir/build/BUILD/AIDA-X/redhat-linux-build' /usr/bin/cmake -E cmake_progress_start /builddir/build/BUILD/AIDA-X/redhat-linux-build/CMakeFiles 0 + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.hO16OW + umask 022 + cd /builddir/build/BUILD + '[' /builddir/build/BUILDROOT/aida-x-1.1.0-1.fc39.x86_64 '!=' / ']' + rm -rf /builddir/build/BUILDROOT/aida-x-1.1.0-1.fc39.x86_64 ++ dirname /builddir/build/BUILDROOT/aida-x-1.1.0-1.fc39.x86_64 + mkdir -p /builddir/build/BUILDROOT + mkdir /builddir/build/BUILDROOT/aida-x-1.1.0-1.fc39.x86_64 + 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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-Wl,-z,relro -Clink-arg=-Wl,-z,now -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -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/BUILDROOT/aida-x-1.1.0-1.fc39.x86_64/usr/lib64/vst3/ + install -m 755 -d /builddir/build/BUILDROOT/aida-x-1.1.0-1.fc39.x86_64/usr/lib64/vst/ + install -m 755 -d /builddir/build/BUILDROOT/aida-x-1.1.0-1.fc39.x86_64/usr/lib64/clap/ + install -m 755 -d /builddir/build/BUILDROOT/aida-x-1.1.0-1.fc39.x86_64/usr/lib64/lv2/ + install -m 755 -d /builddir/build/BUILDROOT/aida-x-1.1.0-1.fc39.x86_64/usr/bin/ + cp -ra redhat-linux-build/bin/AIDA-X /builddir/build/BUILDROOT/aida-x-1.1.0-1.fc39.x86_64/usr/bin/ + cp -ra redhat-linux-build/bin/AIDA-X.clap /builddir/build/BUILDROOT/aida-x-1.1.0-1.fc39.x86_64/usr/lib64/clap/ + cp -ra redhat-linux-build/bin/AIDA-X.lv2 /builddir/build/BUILDROOT/aida-x-1.1.0-1.fc39.x86_64/usr/lib64/lv2/ + cp -ra redhat-linux-build/bin/AIDA-X-vst2.so /builddir/build/BUILDROOT/aida-x-1.1.0-1.fc39.x86_64/usr/lib64/vst/ + cp -ra redhat-linux-build/bin/AIDA-X.vst3 /builddir/build/BUILDROOT/aida-x-1.1.0-1.fc39.x86_64/usr/lib64/vst3/ + /usr/bin/find-debuginfo -j2 --strict-build-id -m -i --build-id-seed 1.1.0-1.fc39 --unique-debug-suffix -1.1.0-1.fc39.x86_64 --unique-debug-src-base aida-x-1.1.0-1.fc39.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/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.fc39.x86_64 23863 blocks find-debuginfo: done + /usr/lib/rpm/check-buildroot + /usr/lib/rpm/redhat/brp-ldconfig + /usr/lib/rpm/brp-compress + /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip + /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip + /usr/lib/rpm/check-rpaths + /usr/lib/rpm/redhat/brp-mangle-shebangs *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc39.x86_64/modules/rtneural/modules/Eigen/Eigen/src/plugins/MatrixCwiseUnaryOps.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/aida-x-1.1.0-1.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.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.fc39.x86_64/modules/FFTConvolver/AudioFFT.cpp is executable but has no shebang, removing executable bit + /usr/lib/rpm/brp-remove-la-files + env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j2 + /usr/lib/rpm/redhat/brp-python-hardlink Processing files: aida-x-1.1.0-1.fc39.x86_64 Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.Dz8TYC + umask 022 + cd /builddir/build/BUILD + cd AIDA-X + DOCDIR=/builddir/build/BUILDROOT/aida-x-1.1.0-1.fc39.x86_64/usr/share/doc/aida-x + export LC_ALL= + LC_ALL= + export DOCDIR + /usr/bin/mkdir -p /builddir/build/BUILDROOT/aida-x-1.1.0-1.fc39.x86_64/usr/share/doc/aida-x + cp -pr /builddir/build/BUILD/AIDA-X/README.md /builddir/build/BUILDROOT/aida-x-1.1.0-1.fc39.x86_64/usr/share/doc/aida-x + RPM_EC=0 ++ jobs -p + exit 0 Executing(%license): /bin/sh -e /var/tmp/rpm-tmp.IFle7C + umask 022 + cd /builddir/build/BUILD + cd AIDA-X + LICENSEDIR=/builddir/build/BUILDROOT/aida-x-1.1.0-1.fc39.x86_64/usr/share/licenses/aida-x + export LC_ALL= + LC_ALL= + export LICENSEDIR + /usr/bin/mkdir -p /builddir/build/BUILDROOT/aida-x-1.1.0-1.fc39.x86_64/usr/share/licenses/aida-x + cp -pr /builddir/build/BUILD/AIDA-X/LICENSE /builddir/build/BUILDROOT/aida-x-1.1.0-1.fc39.x86_64/usr/share/licenses/aida-x + RPM_EC=0 ++ jobs -p + exit 0 Provides: aida-x = 1.1.0-1.fc39 aida-x(x86-64) = 1.1.0-1.fc39 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) 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_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.29)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: vst3-aida-x-1.1.0-1.fc39.x86_64 Provides: vst3-aida-x = 1.1.0-1.fc39 vst3-aida-x(x86-64) = 1.1.0-1.fc39 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) 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_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.29)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: vst-aida-x-1.1.0-1.fc39.x86_64 Provides: vst-aida-x = 1.1.0-1.fc39 vst-aida-x(x86-64) = 1.1.0-1.fc39 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) 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_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.29)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: lv2-aida-x-1.1.0-1.fc39.x86_64 Provides: lv2-aida-x = 1.1.0-1.fc39 lv2-aida-x(x86-64) = 1.1.0-1.fc39 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) 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_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.29)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: clap-aida-x-1.1.0-1.fc39.x86_64 Provides: clap-aida-x = 1.1.0-1.fc39 clap-aida-x(x86-64) = 1.1.0-1.fc39 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) 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_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.29)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: aida-x-debugsource-1.1.0-1.fc39.x86_64 Provides: aida-x-debugsource = 1.1.0-1.fc39 aida-x-debugsource(x86-64) = 1.1.0-1.fc39 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.fc39.x86_64 Provides: aida-x-debuginfo = 1.1.0-1.fc39 aida-x-debuginfo(x86-64) = 1.1.0-1.fc39 debuginfo(build-id) = 084816ac60f84f2f973a81b911f3b0a1a7705909 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.fc39 Processing files: vst3-aida-x-debuginfo-1.1.0-1.fc39.x86_64 Provides: debuginfo(build-id) = 055db15374402345b55c2574fc352a6a4bca9130 vst3-aida-x-debuginfo = 1.1.0-1.fc39 vst3-aida-x-debuginfo(x86-64) = 1.1.0-1.fc39 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.fc39 Processing files: vst-aida-x-debuginfo-1.1.0-1.fc39.x86_64 Provides: debuginfo(build-id) = 571b5b8da011618a526c9869bbd0f2e7407cb42a vst-aida-x-debuginfo = 1.1.0-1.fc39 vst-aida-x-debuginfo(x86-64) = 1.1.0-1.fc39 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.fc39 Processing files: lv2-aida-x-debuginfo-1.1.0-1.fc39.x86_64 Provides: debuginfo(build-id) = 73c39bce62a960008b17a7ecbc838236e510b638 debuginfo(build-id) = 7e06ae390099f41bbb4377dfbaf38a5e8739f47f lv2-aida-x-debuginfo = 1.1.0-1.fc39 lv2-aida-x-debuginfo(x86-64) = 1.1.0-1.fc39 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.fc39 Processing files: clap-aida-x-debuginfo-1.1.0-1.fc39.x86_64 Provides: clap-aida-x-debuginfo = 1.1.0-1.fc39 clap-aida-x-debuginfo(x86-64) = 1.1.0-1.fc39 debuginfo(build-id) = 84e870548974897fd17b07812d9e7b7a60a16502 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.fc39 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILDROOT/aida-x-1.1.0-1.fc39.x86_64 Wrote: /builddir/build/RPMS/vst3-aida-x-debuginfo-1.1.0-1.fc39.x86_64.rpm Wrote: /builddir/build/RPMS/clap-aida-x-debuginfo-1.1.0-1.fc39.x86_64.rpm Wrote: /builddir/build/RPMS/aida-x-debuginfo-1.1.0-1.fc39.x86_64.rpm Wrote: /builddir/build/RPMS/lv2-aida-x-debuginfo-1.1.0-1.fc39.x86_64.rpm Wrote: /builddir/build/RPMS/vst-aida-x-debuginfo-1.1.0-1.fc39.x86_64.rpm Wrote: /builddir/build/RPMS/aida-x-1.1.0-1.fc39.x86_64.rpm Wrote: /builddir/build/RPMS/lv2-aida-x-1.1.0-1.fc39.x86_64.rpm Wrote: /builddir/build/RPMS/vst3-aida-x-1.1.0-1.fc39.x86_64.rpm Wrote: /builddir/build/RPMS/clap-aida-x-1.1.0-1.fc39.x86_64.rpm Wrote: /builddir/build/RPMS/vst-aida-x-1.1.0-1.fc39.x86_64.rpm Wrote: /builddir/build/RPMS/aida-x-debugsource-1.1.0-1.fc39.x86_64.rpm Executing(%clean): /bin/sh -e /var/tmp/rpm-tmp.qZ7cCj + umask 022 + cd /builddir/build/BUILD + cd AIDA-X + /usr/bin/rm -rf /builddir/build/BUILDROOT/aida-x-1.1.0-1.fc39.x86_64 + RPM_EC=0 ++ jobs -p + exit 0 Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.yHj8Xo + umask 022 + cd /builddir/build/BUILD + rm -rf /builddir/build/BUILD/AIDA-X-SPECPARTS + rm -rf AIDA-X AIDA-X.gemspec + RPM_EC=0 ++ jobs -p + exit 0 Finish: rpmbuild aida-x-1.1.0-1.fc39.src.rpm Finish: build phase for aida-x-1.1.0-1.fc39.src.rpm INFO: chroot_scan: 3 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-39-x86_64-1706806975.123712/root/var/log/dnf.rpm.log /var/lib/mock/fedora-39-x86_64-1706806975.123712/root/var/log/dnf.librepo.log /var/lib/mock/fedora-39-x86_64-1706806975.123712/root/var/log/dnf.log INFO: Done(/var/lib/copr-rpmbuild/results/aida-x-1.1.0-1.fc39.src.rpm) Config(child) 7 minutes 24 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": "vst3-aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc39", "arch": "x86_64" }, { "name": "aida-x-debugsource", "epoch": null, "version": "1.1.0", "release": "1.fc39", "arch": "x86_64" }, { "name": "vst3-aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc39", "arch": "x86_64" }, { "name": "vst-aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc39", "arch": "x86_64" }, { "name": "lv2-aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc39", "arch": "x86_64" }, { "name": "clap-aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc39", "arch": "x86_64" }, { "name": "aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc39", "arch": "x86_64" }, { "name": "lv2-aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc39", "arch": "x86_64" }, { "name": "clap-aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc39", "arch": "x86_64" }, { "name": "aida-x-debuginfo", "epoch": null, "version": "1.1.0", "release": "1.fc39", "arch": "x86_64" }, { "name": "aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc39", "arch": "src" }, { "name": "vst-aida-x", "epoch": null, "version": "1.1.0", "release": "1.fc39", "arch": "x86_64" } ] } RPMResults finished